JasperHaozhe commited on
Commit
25f82bc
·
verified ·
1 Parent(s): 53d2fa8

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +6 -0
  2. added_tokens.json +24 -0
  3. chat_template.json +3 -0
  4. checkpoint-1225/added_tokens.json +24 -0
  5. checkpoint-1225/chat_template.json +3 -0
  6. checkpoint-1225/config.json +50 -0
  7. checkpoint-1225/generation_config.json +14 -0
  8. checkpoint-1225/merges.txt +0 -0
  9. checkpoint-1225/model-00001-of-00004.safetensors +3 -0
  10. checkpoint-1225/model-00002-of-00004.safetensors +3 -0
  11. checkpoint-1225/model-00003-of-00004.safetensors +3 -0
  12. checkpoint-1225/model-00004-of-00004.safetensors +3 -0
  13. checkpoint-1225/model.safetensors.index.json +736 -0
  14. checkpoint-1225/preprocessor_config.json +29 -0
  15. checkpoint-1225/special_tokens_map.json +31 -0
  16. checkpoint-1225/tokenizer.json +3 -0
  17. checkpoint-1225/tokenizer_config.json +209 -0
  18. checkpoint-1225/trainer_state.json +0 -0
  19. checkpoint-1225/training_args.bin +3 -0
  20. checkpoint-1225/vocab.json +0 -0
  21. checkpoint-246/added_tokens.json +24 -0
  22. checkpoint-246/chat_template.json +3 -0
  23. checkpoint-246/config.json +50 -0
  24. checkpoint-246/generation_config.json +14 -0
  25. checkpoint-246/merges.txt +0 -0
  26. checkpoint-246/model-00001-of-00004.safetensors +3 -0
  27. checkpoint-246/model-00002-of-00004.safetensors +3 -0
  28. checkpoint-246/model-00003-of-00004.safetensors +3 -0
  29. checkpoint-246/model-00004-of-00004.safetensors +3 -0
  30. checkpoint-246/model.safetensors.index.json +736 -0
  31. checkpoint-246/preprocessor_config.json +29 -0
  32. checkpoint-246/special_tokens_map.json +31 -0
  33. checkpoint-246/tokenizer.json +3 -0
  34. checkpoint-246/tokenizer_config.json +209 -0
  35. checkpoint-246/trainer_state.json +1755 -0
  36. checkpoint-246/training_args.bin +3 -0
  37. checkpoint-246/vocab.json +0 -0
  38. checkpoint-492/added_tokens.json +24 -0
  39. checkpoint-492/chat_template.json +3 -0
  40. checkpoint-492/config.json +50 -0
  41. checkpoint-492/generation_config.json +14 -0
  42. checkpoint-492/merges.txt +0 -0
  43. checkpoint-492/model-00001-of-00004.safetensors +3 -0
  44. checkpoint-492/model-00002-of-00004.safetensors +3 -0
  45. checkpoint-492/model-00003-of-00004.safetensors +3 -0
  46. checkpoint-492/model-00004-of-00004.safetensors +3 -0
  47. checkpoint-492/model.safetensors.index.json +736 -0
  48. checkpoint-492/preprocessor_config.json +29 -0
  49. checkpoint-492/special_tokens_map.json +31 -0
  50. checkpoint-492/tokenizer.json +3 -0
.gitattributes CHANGED
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-984/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-1225/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
+ checkpoint-492/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
+ checkpoint-738/tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
+ checkpoint-246/tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
checkpoint-1225/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-1225/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
checkpoint-1225/config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/ma-user/work/haozhe/muze/models/Qwen2.5-VL-7B-Instruct",
3
+ "architectures": [
4
+ "Qwen2_5_VLForConditionalGeneration"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "image_token_id": 151655,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 18944,
14
+ "max_position_embeddings": 128000,
15
+ "max_window_layers": 28,
16
+ "model_type": "qwen2_5_vl",
17
+ "num_attention_heads": 28,
18
+ "num_hidden_layers": 28,
19
+ "num_key_value_heads": 4,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "mrope_section": [
23
+ 16,
24
+ 24,
25
+ 24
26
+ ],
27
+ "rope_type": "default",
28
+ "type": "default"
29
+ },
30
+ "rope_theta": 1000000.0,
31
+ "sliding_window": 32768,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "bfloat16",
34
+ "transformers_version": "4.50.0.dev0",
35
+ "use_cache": false,
36
+ "use_sliding_window": false,
37
+ "video_token_id": 151656,
38
+ "vision_config": {
39
+ "hidden_size": 1280,
40
+ "in_chans": 3,
41
+ "model_type": "qwen2_5_vl",
42
+ "spatial_patch_size": 14,
43
+ "tokens_per_second": 2,
44
+ "torch_dtype": "bfloat16"
45
+ },
46
+ "vision_end_token_id": 151653,
47
+ "vision_start_token_id": 151652,
48
+ "vision_token_id": 151654,
49
+ "vocab_size": 152064
50
+ }
checkpoint-1225/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attn_implementation": "flash_attention_2",
3
+ "bos_token_id": 151643,
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 151645,
7
+ 151643
8
+ ],
9
+ "pad_token_id": 151643,
10
+ "repetition_penalty": 1.05,
11
+ "temperature": 1e-06,
12
+ "transformers_version": "4.50.0.dev0",
13
+ "use_cache": false
14
+ }
checkpoint-1225/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1225/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c6936c79f9fe5030c7c106f0389434c62f51074133d66852ccf63031c91eaa12
3
+ size 4968243304
checkpoint-1225/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ffe989dbfa5fd825e670f9552972cf8a72c3af9e58a1829335f65714f89cd1b
3
+ size 4991495816
checkpoint-1225/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:006cb3ea133162755e0203bf23be3795f38d9ee3c3128d5a68b256b311b12ed6
3
+ size 4932751040
checkpoint-1225/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c0b5eef4adb4c8ea0c2518ef5d6fc8927eab4d0509067f39a8a3e4d40e139d7
3
+ size 1691924384
checkpoint-1225/model.safetensors.index.json ADDED
@@ -0,0 +1,736 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16584333312
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00004-of-00004.safetensors",
345
+ "visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
346
+ "visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
347
+ "visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
348
+ "visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
349
+ "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
350
+ "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
351
+ "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
352
+ "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
354
+ "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
355
+ "visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
356
+ "visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
357
+ "visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
358
+ "visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
359
+ "visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
360
+ "visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
361
+ "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
362
+ "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
364
+ "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
365
+ "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
366
+ "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
367
+ "visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
368
+ "visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
369
+ "visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
370
+ "visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
371
+ "visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
372
+ "visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
373
+ "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
374
+ "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
375
+ "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
376
+ "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
377
+ "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
378
+ "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
379
+ "visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
380
+ "visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
381
+ "visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
382
+ "visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
383
+ "visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
384
+ "visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
385
+ "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
386
+ "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
387
+ "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
388
+ "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
389
+ "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
390
+ "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
391
+ "visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
392
+ "visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
393
+ "visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
394
+ "visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
395
+ "visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
396
+ "visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
397
+ "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
398
+ "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
399
+ "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
400
+ "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
401
+ "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
402
+ "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
403
+ "visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
404
+ "visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
405
+ "visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
406
+ "visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
407
+ "visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
408
+ "visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
409
+ "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
410
+ "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
411
+ "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
412
+ "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
413
+ "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
414
+ "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
415
+ "visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
416
+ "visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
417
+ "visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
418
+ "visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
419
+ "visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
420
+ "visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
421
+ "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
422
+ "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
423
+ "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
424
+ "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
425
+ "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
426
+ "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
427
+ "visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
428
+ "visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
429
+ "visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
430
+ "visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
431
+ "visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
432
+ "visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
433
+ "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
434
+ "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
435
+ "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
436
+ "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
437
+ "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
438
+ "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
439
+ "visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
440
+ "visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
441
+ "visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
442
+ "visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
443
+ "visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
444
+ "visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
445
+ "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
446
+ "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
447
+ "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
448
+ "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
449
+ "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
450
+ "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
451
+ "visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
452
+ "visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
453
+ "visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
454
+ "visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
455
+ "visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
456
+ "visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
457
+ "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
458
+ "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
459
+ "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
460
+ "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
461
+ "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
462
+ "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
463
+ "visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
464
+ "visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
465
+ "visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
466
+ "visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
467
+ "visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
468
+ "visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
469
+ "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
470
+ "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
471
+ "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
472
+ "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
473
+ "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
474
+ "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
475
+ "visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
476
+ "visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
477
+ "visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
478
+ "visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
479
+ "visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
480
+ "visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
481
+ "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
482
+ "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
483
+ "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
484
+ "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
485
+ "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
486
+ "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
487
+ "visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
488
+ "visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
489
+ "visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
490
+ "visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
491
+ "visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
492
+ "visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
493
+ "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
494
+ "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
495
+ "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
496
+ "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
497
+ "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
498
+ "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
499
+ "visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
500
+ "visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
501
+ "visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
502
+ "visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
503
+ "visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
504
+ "visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
505
+ "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
506
+ "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
507
+ "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
508
+ "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
509
+ "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
510
+ "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
511
+ "visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
512
+ "visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
513
+ "visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
514
+ "visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
515
+ "visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
516
+ "visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
517
+ "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
518
+ "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
519
+ "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
520
+ "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
521
+ "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
522
+ "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
523
+ "visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
524
+ "visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
525
+ "visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
526
+ "visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
527
+ "visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
528
+ "visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
529
+ "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
530
+ "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
531
+ "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
532
+ "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
533
+ "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
534
+ "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
535
+ "visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
536
+ "visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
537
+ "visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
538
+ "visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
539
+ "visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
540
+ "visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
541
+ "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
542
+ "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
543
+ "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
544
+ "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
545
+ "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
546
+ "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
547
+ "visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
548
+ "visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
549
+ "visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
550
+ "visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
551
+ "visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
552
+ "visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
553
+ "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
554
+ "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
555
+ "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
556
+ "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
557
+ "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
558
+ "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
559
+ "visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
560
+ "visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
561
+ "visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
562
+ "visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
563
+ "visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
564
+ "visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
565
+ "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
566
+ "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
567
+ "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
568
+ "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
569
+ "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
570
+ "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
571
+ "visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
572
+ "visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
573
+ "visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
574
+ "visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
575
+ "visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
576
+ "visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
577
+ "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
578
+ "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
579
+ "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
580
+ "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
581
+ "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
582
+ "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
583
+ "visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
584
+ "visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
585
+ "visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
586
+ "visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
587
+ "visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
588
+ "visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
589
+ "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
590
+ "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
591
+ "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
592
+ "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
593
+ "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
594
+ "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
595
+ "visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
596
+ "visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
597
+ "visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
598
+ "visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
599
+ "visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
600
+ "visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
601
+ "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
602
+ "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
603
+ "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
604
+ "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
605
+ "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
606
+ "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
607
+ "visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
608
+ "visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
609
+ "visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
610
+ "visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
611
+ "visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
612
+ "visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
613
+ "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
614
+ "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
615
+ "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
616
+ "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
617
+ "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
618
+ "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
619
+ "visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
620
+ "visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
621
+ "visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
622
+ "visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
623
+ "visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
624
+ "visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
625
+ "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
626
+ "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
627
+ "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
628
+ "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
629
+ "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
630
+ "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
631
+ "visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
632
+ "visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
633
+ "visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
634
+ "visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
635
+ "visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
636
+ "visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
637
+ "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
638
+ "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
639
+ "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
640
+ "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
641
+ "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
642
+ "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
643
+ "visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
644
+ "visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
645
+ "visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
646
+ "visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
647
+ "visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
648
+ "visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
649
+ "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
650
+ "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
651
+ "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
652
+ "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
653
+ "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
654
+ "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
655
+ "visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
656
+ "visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
657
+ "visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
658
+ "visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
659
+ "visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
660
+ "visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
661
+ "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
662
+ "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
663
+ "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
664
+ "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
665
+ "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
666
+ "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
667
+ "visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
668
+ "visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
669
+ "visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
670
+ "visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
671
+ "visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
672
+ "visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
673
+ "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
674
+ "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
675
+ "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
676
+ "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
677
+ "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
678
+ "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
679
+ "visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
680
+ "visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
681
+ "visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
682
+ "visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
683
+ "visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
684
+ "visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
685
+ "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
686
+ "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
687
+ "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
688
+ "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
689
+ "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
690
+ "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
691
+ "visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
692
+ "visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
693
+ "visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
694
+ "visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
695
+ "visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
696
+ "visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
697
+ "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
698
+ "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
699
+ "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
700
+ "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
701
+ "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
702
+ "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
703
+ "visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
704
+ "visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
705
+ "visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
706
+ "visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
707
+ "visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
708
+ "visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
709
+ "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
710
+ "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
711
+ "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
712
+ "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
713
+ "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
714
+ "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
715
+ "visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
716
+ "visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
717
+ "visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
718
+ "visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
719
+ "visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
720
+ "visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
721
+ "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
722
+ "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
723
+ "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
724
+ "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
725
+ "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
726
+ "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
727
+ "visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
728
+ "visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
729
+ "visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
730
+ "visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
731
+ "visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
732
+ "visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
733
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
734
+ "visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
735
+ }
736
+ }
checkpoint-1225/preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 4014080,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2_5_VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
checkpoint-1225/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-1225/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-1225/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "processor_class": "Qwen2_5_VLProcessor",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
checkpoint-1225/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1225/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5ba1195b28d4eb5f6c01fc66fa88747aff65390ba93c1fc53707d292a8b581b
3
+ size 7672
checkpoint-1225/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-246/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-246/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
checkpoint-246/config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/ma-user/work/haozhe/muze/models/Qwen2.5-VL-7B-Instruct",
3
+ "architectures": [
4
+ "Qwen2_5_VLForConditionalGeneration"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "image_token_id": 151655,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 18944,
14
+ "max_position_embeddings": 128000,
15
+ "max_window_layers": 28,
16
+ "model_type": "qwen2_5_vl",
17
+ "num_attention_heads": 28,
18
+ "num_hidden_layers": 28,
19
+ "num_key_value_heads": 4,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "mrope_section": [
23
+ 16,
24
+ 24,
25
+ 24
26
+ ],
27
+ "rope_type": "default",
28
+ "type": "default"
29
+ },
30
+ "rope_theta": 1000000.0,
31
+ "sliding_window": 32768,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "bfloat16",
34
+ "transformers_version": "4.50.0.dev0",
35
+ "use_cache": false,
36
+ "use_sliding_window": false,
37
+ "video_token_id": 151656,
38
+ "vision_config": {
39
+ "hidden_size": 1280,
40
+ "in_chans": 3,
41
+ "model_type": "qwen2_5_vl",
42
+ "spatial_patch_size": 14,
43
+ "tokens_per_second": 2,
44
+ "torch_dtype": "bfloat16"
45
+ },
46
+ "vision_end_token_id": 151653,
47
+ "vision_start_token_id": 151652,
48
+ "vision_token_id": 151654,
49
+ "vocab_size": 152064
50
+ }
checkpoint-246/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attn_implementation": "flash_attention_2",
3
+ "bos_token_id": 151643,
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 151645,
7
+ 151643
8
+ ],
9
+ "pad_token_id": 151643,
10
+ "repetition_penalty": 1.05,
11
+ "temperature": 1e-06,
12
+ "transformers_version": "4.50.0.dev0",
13
+ "use_cache": false
14
+ }
checkpoint-246/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-246/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9abad11ad78a0bcd5c1bfc900798b63cfa1a94fd1d3c9239a2ee5bc930482a59
3
+ size 4968243304
checkpoint-246/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab9034af032906afead0681d31933843ee36efc9e87a718d9506bb709193b292
3
+ size 4991495816
checkpoint-246/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2e4f5017562b9f24b85e6789f98c14d75ffc8635d8240f54f90a6e9d1992e60
3
+ size 4932751040
checkpoint-246/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96305554a0f6e3a37efbbb3c28a0012d2a9e68092a8232505beb7d6363e3b188
3
+ size 1691924384
checkpoint-246/model.safetensors.index.json ADDED
@@ -0,0 +1,736 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16584333312
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00004-of-00004.safetensors",
345
+ "visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
346
+ "visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
347
+ "visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
348
+ "visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
349
+ "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
350
+ "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
351
+ "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
352
+ "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
354
+ "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
355
+ "visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
356
+ "visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
357
+ "visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
358
+ "visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
359
+ "visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
360
+ "visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
361
+ "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
362
+ "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
364
+ "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
365
+ "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
366
+ "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
367
+ "visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
368
+ "visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
369
+ "visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
370
+ "visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
371
+ "visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
372
+ "visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
373
+ "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
374
+ "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
375
+ "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
376
+ "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
377
+ "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
378
+ "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
379
+ "visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
380
+ "visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
381
+ "visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
382
+ "visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
383
+ "visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
384
+ "visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
385
+ "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
386
+ "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
387
+ "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
388
+ "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
389
+ "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
390
+ "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
391
+ "visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
392
+ "visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
393
+ "visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
394
+ "visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
395
+ "visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
396
+ "visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
397
+ "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
398
+ "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
399
+ "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
400
+ "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
401
+ "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
402
+ "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
403
+ "visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
404
+ "visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
405
+ "visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
406
+ "visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
407
+ "visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
408
+ "visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
409
+ "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
410
+ "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
411
+ "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
412
+ "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
413
+ "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
414
+ "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
415
+ "visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
416
+ "visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
417
+ "visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
418
+ "visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
419
+ "visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
420
+ "visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
421
+ "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
422
+ "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
423
+ "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
424
+ "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
425
+ "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
426
+ "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
427
+ "visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
428
+ "visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
429
+ "visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
430
+ "visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
431
+ "visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
432
+ "visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
433
+ "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
434
+ "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
435
+ "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
436
+ "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
437
+ "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
438
+ "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
439
+ "visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
440
+ "visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
441
+ "visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
442
+ "visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
443
+ "visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
444
+ "visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
445
+ "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
446
+ "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
447
+ "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
448
+ "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
449
+ "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
450
+ "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
451
+ "visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
452
+ "visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
453
+ "visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
454
+ "visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
455
+ "visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
456
+ "visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
457
+ "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
458
+ "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
459
+ "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
460
+ "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
461
+ "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
462
+ "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
463
+ "visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
464
+ "visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
465
+ "visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
466
+ "visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
467
+ "visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
468
+ "visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
469
+ "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
470
+ "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
471
+ "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
472
+ "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
473
+ "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
474
+ "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
475
+ "visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
476
+ "visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
477
+ "visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
478
+ "visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
479
+ "visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
480
+ "visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
481
+ "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
482
+ "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
483
+ "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
484
+ "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
485
+ "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
486
+ "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
487
+ "visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
488
+ "visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
489
+ "visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
490
+ "visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
491
+ "visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
492
+ "visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
493
+ "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
494
+ "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
495
+ "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
496
+ "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
497
+ "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
498
+ "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
499
+ "visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
500
+ "visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
501
+ "visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
502
+ "visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
503
+ "visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
504
+ "visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
505
+ "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
506
+ "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
507
+ "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
508
+ "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
509
+ "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
510
+ "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
511
+ "visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
512
+ "visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
513
+ "visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
514
+ "visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
515
+ "visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
516
+ "visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
517
+ "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
518
+ "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
519
+ "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
520
+ "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
521
+ "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
522
+ "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
523
+ "visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
524
+ "visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
525
+ "visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
526
+ "visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
527
+ "visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
528
+ "visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
529
+ "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
530
+ "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
531
+ "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
532
+ "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
533
+ "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
534
+ "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
535
+ "visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
536
+ "visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
537
+ "visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
538
+ "visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
539
+ "visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
540
+ "visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
541
+ "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
542
+ "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
543
+ "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
544
+ "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
545
+ "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
546
+ "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
547
+ "visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
548
+ "visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
549
+ "visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
550
+ "visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
551
+ "visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
552
+ "visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
553
+ "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
554
+ "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
555
+ "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
556
+ "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
557
+ "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
558
+ "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
559
+ "visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
560
+ "visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
561
+ "visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
562
+ "visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
563
+ "visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
564
+ "visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
565
+ "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
566
+ "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
567
+ "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
568
+ "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
569
+ "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
570
+ "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
571
+ "visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
572
+ "visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
573
+ "visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
574
+ "visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
575
+ "visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
576
+ "visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
577
+ "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
578
+ "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
579
+ "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
580
+ "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
581
+ "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
582
+ "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
583
+ "visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
584
+ "visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
585
+ "visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
586
+ "visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
587
+ "visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
588
+ "visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
589
+ "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
590
+ "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
591
+ "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
592
+ "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
593
+ "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
594
+ "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
595
+ "visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
596
+ "visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
597
+ "visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
598
+ "visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
599
+ "visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
600
+ "visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
601
+ "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
602
+ "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
603
+ "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
604
+ "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
605
+ "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
606
+ "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
607
+ "visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
608
+ "visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
609
+ "visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
610
+ "visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
611
+ "visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
612
+ "visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
613
+ "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
614
+ "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
615
+ "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
616
+ "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
617
+ "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
618
+ "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
619
+ "visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
620
+ "visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
621
+ "visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
622
+ "visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
623
+ "visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
624
+ "visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
625
+ "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
626
+ "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
627
+ "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
628
+ "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
629
+ "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
630
+ "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
631
+ "visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
632
+ "visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
633
+ "visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
634
+ "visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
635
+ "visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
636
+ "visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
637
+ "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
638
+ "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
639
+ "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
640
+ "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
641
+ "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
642
+ "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
643
+ "visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
644
+ "visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
645
+ "visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
646
+ "visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
647
+ "visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
648
+ "visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
649
+ "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
650
+ "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
651
+ "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
652
+ "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
653
+ "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
654
+ "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
655
+ "visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
656
+ "visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
657
+ "visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
658
+ "visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
659
+ "visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
660
+ "visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
661
+ "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
662
+ "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
663
+ "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
664
+ "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
665
+ "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
666
+ "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
667
+ "visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
668
+ "visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
669
+ "visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
670
+ "visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
671
+ "visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
672
+ "visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
673
+ "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
674
+ "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
675
+ "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
676
+ "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
677
+ "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
678
+ "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
679
+ "visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
680
+ "visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
681
+ "visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
682
+ "visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
683
+ "visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
684
+ "visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
685
+ "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
686
+ "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
687
+ "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
688
+ "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
689
+ "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
690
+ "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
691
+ "visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
692
+ "visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
693
+ "visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
694
+ "visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
695
+ "visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
696
+ "visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
697
+ "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
698
+ "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
699
+ "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
700
+ "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
701
+ "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
702
+ "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
703
+ "visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
704
+ "visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
705
+ "visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
706
+ "visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
707
+ "visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
708
+ "visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
709
+ "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
710
+ "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
711
+ "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
712
+ "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
713
+ "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
714
+ "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
715
+ "visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
716
+ "visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
717
+ "visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
718
+ "visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
719
+ "visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
720
+ "visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
721
+ "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
722
+ "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
723
+ "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
724
+ "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
725
+ "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
726
+ "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
727
+ "visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
728
+ "visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
729
+ "visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
730
+ "visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
731
+ "visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
732
+ "visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
733
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
734
+ "visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
735
+ }
736
+ }
checkpoint-246/preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 4014080,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2_5_VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
checkpoint-246/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-246/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
checkpoint-246/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "processor_class": "Qwen2_5_VLProcessor",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
checkpoint-246/trainer_state.json ADDED
@@ -0,0 +1,1755 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 1.0,
6
+ "global_step": 246,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004073319755600814,
13
+ "grad_norm": 34.300819396972656,
14
+ "learning_rate": 8.130081300813008e-09,
15
+ "loss": 1.59619802236557,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.008146639511201629,
20
+ "grad_norm": 30.720197677612305,
21
+ "learning_rate": 1.6260162601626016e-08,
22
+ "loss": 1.468272864818573,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.012219959266802444,
27
+ "grad_norm": 30.16754722595215,
28
+ "learning_rate": 2.4390243902439023e-08,
29
+ "loss": 1.3843095302581787,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.016293279022403257,
34
+ "grad_norm": 38.58047103881836,
35
+ "learning_rate": 3.252032520325203e-08,
36
+ "loss": 1.7031245231628418,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.020366598778004074,
41
+ "grad_norm": 30.89760971069336,
42
+ "learning_rate": 4.065040650406504e-08,
43
+ "loss": 1.4844104647636414,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.024439918533604887,
48
+ "grad_norm": 34.434993743896484,
49
+ "learning_rate": 4.878048780487805e-08,
50
+ "loss": 1.574910283088684,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.028513238289205704,
55
+ "grad_norm": 32.540470123291016,
56
+ "learning_rate": 5.6910569105691055e-08,
57
+ "loss": 1.4606674909591675,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.032586558044806514,
62
+ "grad_norm": 36.41299819946289,
63
+ "learning_rate": 6.504065040650406e-08,
64
+ "loss": 1.553576111793518,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.03665987780040733,
69
+ "grad_norm": 34.50511932373047,
70
+ "learning_rate": 7.317073170731706e-08,
71
+ "loss": 1.3344553709030151,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.04073319755600815,
76
+ "grad_norm": 27.898704528808594,
77
+ "learning_rate": 8.130081300813008e-08,
78
+ "loss": 1.3406395316123962,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.04480651731160896,
83
+ "grad_norm": 29.29271125793457,
84
+ "learning_rate": 8.943089430894309e-08,
85
+ "loss": 1.4415303468704224,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.048879837067209775,
90
+ "grad_norm": 28.2354736328125,
91
+ "learning_rate": 9.75609756097561e-08,
92
+ "loss": 1.2696096301078796,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.05295315682281059,
97
+ "grad_norm": 35.44163131713867,
98
+ "learning_rate": 1.0569105691056911e-07,
99
+ "loss": 1.598312497138977,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.05702647657841141,
104
+ "grad_norm": 26.94402313232422,
105
+ "learning_rate": 1.1382113821138211e-07,
106
+ "loss": 1.3497812747955322,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.06109979633401222,
111
+ "grad_norm": 37.78248977661133,
112
+ "learning_rate": 1.219512195121951e-07,
113
+ "loss": 1.5689660906791687,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.06517311608961303,
118
+ "grad_norm": 31.73078155517578,
119
+ "learning_rate": 1.3008130081300813e-07,
120
+ "loss": 1.525648295879364,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.06924643584521385,
125
+ "grad_norm": 27.77250862121582,
126
+ "learning_rate": 1.3821138211382114e-07,
127
+ "loss": 1.304672360420227,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.07331975560081466,
132
+ "grad_norm": 28.092498779296875,
133
+ "learning_rate": 1.4634146341463413e-07,
134
+ "loss": 1.346445381641388,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.07739307535641547,
139
+ "grad_norm": 30.995866775512695,
140
+ "learning_rate": 1.5447154471544717e-07,
141
+ "loss": 1.447025179862976,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.0814663951120163,
146
+ "grad_norm": 28.858421325683594,
147
+ "learning_rate": 1.6260162601626016e-07,
148
+ "loss": 1.3801668882369995,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.0855397148676171,
153
+ "grad_norm": 31.91228485107422,
154
+ "learning_rate": 1.7073170731707317e-07,
155
+ "loss": 1.4577875137329102,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.08961303462321792,
160
+ "grad_norm": 31.215259552001953,
161
+ "learning_rate": 1.7886178861788619e-07,
162
+ "loss": 1.4091373682022095,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.09368635437881874,
167
+ "grad_norm": 30.24734115600586,
168
+ "learning_rate": 1.8699186991869917e-07,
169
+ "loss": 1.4649581909179688,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.09775967413441955,
174
+ "grad_norm": 31.560291290283203,
175
+ "learning_rate": 1.951219512195122e-07,
176
+ "loss": 1.5308585166931152,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.10183299389002037,
181
+ "grad_norm": 27.27391242980957,
182
+ "learning_rate": 2.032520325203252e-07,
183
+ "loss": 1.5144553780555725,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.10590631364562118,
188
+ "grad_norm": 29.813785552978516,
189
+ "learning_rate": 2.1138211382113822e-07,
190
+ "loss": 1.519466757774353,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.109979633401222,
195
+ "grad_norm": 24.201751708984375,
196
+ "learning_rate": 2.195121951219512e-07,
197
+ "loss": 1.3116011023521423,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.11405295315682282,
202
+ "grad_norm": 27.95865249633789,
203
+ "learning_rate": 2.2764227642276422e-07,
204
+ "loss": 1.4637184143066406,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.11812627291242363,
209
+ "grad_norm": 26.65915870666504,
210
+ "learning_rate": 2.3577235772357723e-07,
211
+ "loss": 1.4885194301605225,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.12219959266802444,
216
+ "grad_norm": 27.386289596557617,
217
+ "learning_rate": 2.439024390243902e-07,
218
+ "loss": 1.3836334347724915,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.12627291242362526,
223
+ "grad_norm": 25.87419319152832,
224
+ "learning_rate": 2.520325203252032e-07,
225
+ "loss": 1.3642336130142212,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.13034623217922606,
230
+ "grad_norm": 26.620105743408203,
231
+ "learning_rate": 2.6016260162601625e-07,
232
+ "loss": 1.3461121916770935,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.13441955193482688,
237
+ "grad_norm": 22.665058135986328,
238
+ "learning_rate": 2.682926829268293e-07,
239
+ "loss": 1.2577590942382812,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.1384928716904277,
244
+ "grad_norm": 23.679920196533203,
245
+ "learning_rate": 2.764227642276423e-07,
246
+ "loss": 1.2572017908096313,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.1425661914460285,
251
+ "grad_norm": 25.136371612548828,
252
+ "learning_rate": 2.8455284552845527e-07,
253
+ "loss": 1.2670851349830627,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.14663951120162932,
258
+ "grad_norm": 21.567337036132812,
259
+ "learning_rate": 2.9268292682926825e-07,
260
+ "loss": 1.242683231830597,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.15071283095723015,
265
+ "grad_norm": 20.61647605895996,
266
+ "learning_rate": 3.008130081300813e-07,
267
+ "loss": 1.279579222202301,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.15478615071283094,
272
+ "grad_norm": 20.656513214111328,
273
+ "learning_rate": 3.0894308943089434e-07,
274
+ "loss": 1.2040475606918335,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.15885947046843177,
279
+ "grad_norm": 22.86530876159668,
280
+ "learning_rate": 3.170731707317073e-07,
281
+ "loss": 1.2522715330123901,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.1629327902240326,
286
+ "grad_norm": 20.22757911682129,
287
+ "learning_rate": 3.252032520325203e-07,
288
+ "loss": 1.2012774348258972,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.1670061099796334,
293
+ "grad_norm": 23.09739875793457,
294
+ "learning_rate": 3.333333333333333e-07,
295
+ "loss": 1.2088268399238586,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.1710794297352342,
300
+ "grad_norm": 22.845685958862305,
301
+ "learning_rate": 3.4146341463414634e-07,
302
+ "loss": 1.0982880592346191,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.17515274949083504,
307
+ "grad_norm": 19.80814552307129,
308
+ "learning_rate": 3.4959349593495933e-07,
309
+ "loss": 1.1271469593048096,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.17922606924643583,
314
+ "grad_norm": 20.553686141967773,
315
+ "learning_rate": 3.5772357723577237e-07,
316
+ "loss": 1.0008204579353333,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.18329938900203666,
321
+ "grad_norm": 16.66282844543457,
322
+ "learning_rate": 3.6585365853658536e-07,
323
+ "loss": 0.9251897931098938,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.18737270875763748,
328
+ "grad_norm": 15.797308921813965,
329
+ "learning_rate": 3.7398373983739835e-07,
330
+ "loss": 1.0191328525543213,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.19144602851323828,
335
+ "grad_norm": 13.579208374023438,
336
+ "learning_rate": 3.821138211382114e-07,
337
+ "loss": 0.774791806936264,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.1955193482688391,
342
+ "grad_norm": 14.556002616882324,
343
+ "learning_rate": 3.902439024390244e-07,
344
+ "loss": 1.0026790797710419,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.19959266802443992,
349
+ "grad_norm": 14.489509582519531,
350
+ "learning_rate": 3.9837398373983736e-07,
351
+ "loss": 0.9430837631225586,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.20366598778004075,
356
+ "grad_norm": 12.495223999023438,
357
+ "learning_rate": 4.065040650406504e-07,
358
+ "loss": 0.8999880254268646,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.20773930753564154,
363
+ "grad_norm": 11.441575050354004,
364
+ "learning_rate": 4.146341463414634e-07,
365
+ "loss": 0.8320233225822449,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.21181262729124237,
370
+ "grad_norm": 10.894216537475586,
371
+ "learning_rate": 4.2276422764227643e-07,
372
+ "loss": 0.8139239549636841,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.2158859470468432,
377
+ "grad_norm": 10.404220581054688,
378
+ "learning_rate": 4.308943089430894e-07,
379
+ "loss": 0.8323288261890411,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.219959266802444,
384
+ "grad_norm": 10.463072776794434,
385
+ "learning_rate": 4.390243902439024e-07,
386
+ "loss": 0.882573276758194,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.2240325865580448,
391
+ "grad_norm": 10.669075012207031,
392
+ "learning_rate": 4.471544715447154e-07,
393
+ "loss": 0.749780923128128,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.22810590631364563,
398
+ "grad_norm": 10.453638076782227,
399
+ "learning_rate": 4.5528455284552844e-07,
400
+ "loss": 0.7727148830890656,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.23217922606924643,
405
+ "grad_norm": 11.427080154418945,
406
+ "learning_rate": 4.634146341463415e-07,
407
+ "loss": 0.8585084676742554,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.23625254582484725,
412
+ "grad_norm": 8.558117866516113,
413
+ "learning_rate": 4.7154471544715447e-07,
414
+ "loss": 0.7314337491989136,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.24032586558044808,
419
+ "grad_norm": 9.031648635864258,
420
+ "learning_rate": 4.796747967479675e-07,
421
+ "loss": 0.701579749584198,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.24439918533604887,
426
+ "grad_norm": 8.817708969116211,
427
+ "learning_rate": 4.878048780487804e-07,
428
+ "loss": 0.7815204560756683,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.2484725050916497,
433
+ "grad_norm": 8.00804615020752,
434
+ "learning_rate": 4.959349593495934e-07,
435
+ "loss": 0.655106246471405,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.2525458248472505,
440
+ "grad_norm": 6.538842678070068,
441
+ "learning_rate": 5.040650406504064e-07,
442
+ "loss": 0.6697916388511658,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.25661914460285135,
447
+ "grad_norm": 7.5446553230285645,
448
+ "learning_rate": 5.121951219512195e-07,
449
+ "loss": 0.7426944077014923,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.2606924643584521,
454
+ "grad_norm": 6.402474403381348,
455
+ "learning_rate": 5.203252032520325e-07,
456
+ "loss": 0.6401277780532837,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.26476578411405294,
461
+ "grad_norm": 7.257569313049316,
462
+ "learning_rate": 5.284552845528455e-07,
463
+ "loss": 0.6731106042861938,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.26883910386965376,
468
+ "grad_norm": 6.263636589050293,
469
+ "learning_rate": 5.365853658536586e-07,
470
+ "loss": 0.5806022882461548,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.2729124236252546,
475
+ "grad_norm": 5.273800849914551,
476
+ "learning_rate": 5.447154471544715e-07,
477
+ "loss": 0.5338439792394638,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.2769857433808554,
482
+ "grad_norm": 5.2786149978637695,
483
+ "learning_rate": 5.528455284552846e-07,
484
+ "loss": 0.5390533208847046,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.28105906313645623,
489
+ "grad_norm": 4.901702404022217,
490
+ "learning_rate": 5.609756097560975e-07,
491
+ "loss": 0.5899032056331635,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.285132382892057,
496
+ "grad_norm": 4.853933811187744,
497
+ "learning_rate": 5.691056910569105e-07,
498
+ "loss": 0.5600310862064362,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.2892057026476578,
503
+ "grad_norm": 4.680273532867432,
504
+ "learning_rate": 5.772357723577236e-07,
505
+ "loss": 0.5319355428218842,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.29327902240325865,
510
+ "grad_norm": 3.7406885623931885,
511
+ "learning_rate": 5.853658536585365e-07,
512
+ "loss": 0.508156955242157,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.2973523421588595,
517
+ "grad_norm": 4.389779567718506,
518
+ "learning_rate": 5.934959349593496e-07,
519
+ "loss": 0.49855048954486847,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.3014256619144603,
524
+ "grad_norm": 4.23866081237793,
525
+ "learning_rate": 6.016260162601626e-07,
526
+ "loss": 0.5242476612329483,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.3054989816700611,
531
+ "grad_norm": 4.1824951171875,
532
+ "learning_rate": 6.097560975609756e-07,
533
+ "loss": 0.532037615776062,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.3095723014256619,
538
+ "grad_norm": 3.7223150730133057,
539
+ "learning_rate": 6.178861788617887e-07,
540
+ "loss": 0.46959882974624634,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.3136456211812627,
545
+ "grad_norm": 3.545388698577881,
546
+ "learning_rate": 6.260162601626016e-07,
547
+ "loss": 0.4825982600450516,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.31771894093686354,
552
+ "grad_norm": 3.6351099014282227,
553
+ "learning_rate": 6.341463414634146e-07,
554
+ "loss": 0.5095209777355194,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.32179226069246436,
559
+ "grad_norm": 3.243072271347046,
560
+ "learning_rate": 6.422764227642276e-07,
561
+ "loss": 0.4842926263809204,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.3258655804480652,
566
+ "grad_norm": 3.5646300315856934,
567
+ "learning_rate": 6.504065040650406e-07,
568
+ "loss": 0.4908552020788193,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.329938900203666,
573
+ "grad_norm": 3.5380759239196777,
574
+ "learning_rate": 6.585365853658536e-07,
575
+ "loss": 0.4536065459251404,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.3340122199592668,
580
+ "grad_norm": 3.128525495529175,
581
+ "learning_rate": 6.666666666666666e-07,
582
+ "loss": 0.47657161951065063,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.3380855397148676,
587
+ "grad_norm": 3.3621485233306885,
588
+ "learning_rate": 6.747967479674797e-07,
589
+ "loss": 0.43791596591472626,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.3421588594704684,
594
+ "grad_norm": 3.39066219329834,
595
+ "learning_rate": 6.829268292682927e-07,
596
+ "loss": 0.42947711050510406,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.34623217922606925,
601
+ "grad_norm": 3.7795698642730713,
602
+ "learning_rate": 6.910569105691057e-07,
603
+ "loss": 0.4219910502433777,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.35030549898167007,
608
+ "grad_norm": 3.633206367492676,
609
+ "learning_rate": 6.991869918699187e-07,
610
+ "loss": 0.4253977984189987,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.3543788187372709,
615
+ "grad_norm": 3.6160175800323486,
616
+ "learning_rate": 7.073170731707316e-07,
617
+ "loss": 0.449339896440506,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.35845213849287166,
622
+ "grad_norm": 3.30557918548584,
623
+ "learning_rate": 7.154471544715447e-07,
624
+ "loss": 0.45001736283302307,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.3625254582484725,
629
+ "grad_norm": 3.1727640628814697,
630
+ "learning_rate": 7.235772357723577e-07,
631
+ "loss": 0.4165496975183487,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.3665987780040733,
636
+ "grad_norm": 3.073976516723633,
637
+ "learning_rate": 7.317073170731707e-07,
638
+ "loss": 0.4443822205066681,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.37067209775967414,
643
+ "grad_norm": 3.129105567932129,
644
+ "learning_rate": 7.398373983739837e-07,
645
+ "loss": 0.4265598952770233,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.37474541751527496,
650
+ "grad_norm": 3.1485190391540527,
651
+ "learning_rate": 7.479674796747967e-07,
652
+ "loss": 0.3882734924554825,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.3788187372708758,
657
+ "grad_norm": 3.1610565185546875,
658
+ "learning_rate": 7.560975609756097e-07,
659
+ "loss": 0.37010858952999115,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.38289205702647655,
664
+ "grad_norm": 3.039264440536499,
665
+ "learning_rate": 7.642276422764228e-07,
666
+ "loss": 0.400989294052124,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.3869653767820774,
671
+ "grad_norm": 2.9321980476379395,
672
+ "learning_rate": 7.723577235772358e-07,
673
+ "loss": 0.3771343380212784,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.3910386965376782,
678
+ "grad_norm": 2.807072162628174,
679
+ "learning_rate": 7.804878048780488e-07,
680
+ "loss": 0.4001482129096985,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.395112016293279,
685
+ "grad_norm": 2.8286941051483154,
686
+ "learning_rate": 7.886178861788617e-07,
687
+ "loss": 0.4234430640935898,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.39918533604887985,
692
+ "grad_norm": 2.9245986938476562,
693
+ "learning_rate": 7.967479674796747e-07,
694
+ "loss": 0.3854667395353317,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.40325865580448067,
699
+ "grad_norm": 3.015875816345215,
700
+ "learning_rate": 8.048780487804878e-07,
701
+ "loss": 0.38027653098106384,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.4073319755600815,
706
+ "grad_norm": 2.907216787338257,
707
+ "learning_rate": 8.130081300813008e-07,
708
+ "loss": 0.34937676787376404,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 0.41140529531568226,
713
+ "grad_norm": 3.131850004196167,
714
+ "learning_rate": 8.211382113821138e-07,
715
+ "loss": 0.4414845108985901,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 0.4154786150712831,
720
+ "grad_norm": 2.9019775390625,
721
+ "learning_rate": 8.292682926829268e-07,
722
+ "loss": 0.3990558981895447,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 0.4195519348268839,
727
+ "grad_norm": 2.9362523555755615,
728
+ "learning_rate": 8.373983739837398e-07,
729
+ "loss": 0.41413092613220215,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 0.42362525458248473,
734
+ "grad_norm": 3.0895473957061768,
735
+ "learning_rate": 8.455284552845529e-07,
736
+ "loss": 0.3904542028903961,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 0.42769857433808556,
741
+ "grad_norm": 2.9235992431640625,
742
+ "learning_rate": 8.536585365853657e-07,
743
+ "loss": 0.3995140939950943,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 0.4317718940936864,
748
+ "grad_norm": 2.919102668762207,
749
+ "learning_rate": 8.617886178861788e-07,
750
+ "loss": 0.32857778668403625,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 0.43584521384928715,
755
+ "grad_norm": 2.831698417663574,
756
+ "learning_rate": 8.699186991869918e-07,
757
+ "loss": 0.3507983237504959,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 0.439918533604888,
762
+ "grad_norm": 2.952693223953247,
763
+ "learning_rate": 8.780487804878048e-07,
764
+ "loss": 0.37046514451503754,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 0.4439918533604888,
769
+ "grad_norm": 3.315002679824829,
770
+ "learning_rate": 8.861788617886179e-07,
771
+ "loss": 0.391086682677269,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 0.4480651731160896,
776
+ "grad_norm": 2.7241294384002686,
777
+ "learning_rate": 8.943089430894308e-07,
778
+ "loss": 0.3864188492298126,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 0.45213849287169044,
783
+ "grad_norm": 2.782064199447632,
784
+ "learning_rate": 9.024390243902439e-07,
785
+ "loss": 0.38219109177589417,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 0.45621181262729127,
790
+ "grad_norm": 4.001572132110596,
791
+ "learning_rate": 9.105691056910569e-07,
792
+ "loss": 0.3784598410129547,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 0.46028513238289204,
797
+ "grad_norm": 2.607434034347534,
798
+ "learning_rate": 9.186991869918699e-07,
799
+ "loss": 0.3763512521982193,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 0.46435845213849286,
804
+ "grad_norm": 2.97188138961792,
805
+ "learning_rate": 9.26829268292683e-07,
806
+ "loss": 0.36788034439086914,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 0.4684317718940937,
811
+ "grad_norm": 2.9631524085998535,
812
+ "learning_rate": 9.349593495934958e-07,
813
+ "loss": 0.3696867823600769,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 0.4725050916496945,
818
+ "grad_norm": 2.5895049571990967,
819
+ "learning_rate": 9.430894308943089e-07,
820
+ "loss": 0.3349902927875519,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 0.47657841140529533,
825
+ "grad_norm": 2.600832462310791,
826
+ "learning_rate": 9.512195121951218e-07,
827
+ "loss": 0.34966227412223816,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 0.48065173116089616,
832
+ "grad_norm": 3.0639443397521973,
833
+ "learning_rate": 9.59349593495935e-07,
834
+ "loss": 0.38310858607292175,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 0.4847250509164969,
839
+ "grad_norm": 2.6944706439971924,
840
+ "learning_rate": 9.67479674796748e-07,
841
+ "loss": 0.3360476493835449,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 0.48879837067209775,
846
+ "grad_norm": 2.8398237228393555,
847
+ "learning_rate": 9.756097560975609e-07,
848
+ "loss": 0.39176714420318604,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 0.49287169042769857,
853
+ "grad_norm": 2.8028745651245117,
854
+ "learning_rate": 9.83739837398374e-07,
855
+ "loss": 0.37909021973609924,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 0.4969450101832994,
860
+ "grad_norm": 2.6169185638427734,
861
+ "learning_rate": 9.918699186991869e-07,
862
+ "loss": 0.37069061398506165,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 0.5010183299389002,
867
+ "grad_norm": 2.572046995162964,
868
+ "learning_rate": 1e-06,
869
+ "loss": 0.3428824096918106,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 0.505091649694501,
874
+ "grad_norm": 2.7804417610168457,
875
+ "learning_rate": 9.999979682219186e-07,
876
+ "loss": 0.3680119812488556,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 0.5091649694501018,
881
+ "grad_norm": 2.5910799503326416,
882
+ "learning_rate": 9.999918729041868e-07,
883
+ "loss": 0.33467385172843933,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 0.5132382892057027,
888
+ "grad_norm": 2.8417587280273438,
889
+ "learning_rate": 9.999817140963419e-07,
890
+ "loss": 0.35100705921649933,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.5173116089613035,
895
+ "grad_norm": 2.905728340148926,
896
+ "learning_rate": 9.999674918809457e-07,
897
+ "loss": 0.32811686396598816,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 0.5213849287169042,
902
+ "grad_norm": 2.5878095626831055,
903
+ "learning_rate": 9.99949206373584e-07,
904
+ "loss": 0.32490645349025726,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 0.5254582484725051,
909
+ "grad_norm": 2.9762229919433594,
910
+ "learning_rate": 9.999268577228648e-07,
911
+ "loss": 0.3934018760919571,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 0.5295315682281059,
916
+ "grad_norm": 2.792989492416382,
917
+ "learning_rate": 9.99900446110418e-07,
918
+ "loss": 0.3315049111843109,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 0.5336048879837068,
923
+ "grad_norm": 2.6891062259674072,
924
+ "learning_rate": 9.998699717508945e-07,
925
+ "loss": 0.3097301423549652,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 0.5376782077393075,
930
+ "grad_norm": 2.92191481590271,
931
+ "learning_rate": 9.99835434891962e-07,
932
+ "loss": 0.34749817848205566,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 0.5417515274949084,
937
+ "grad_norm": 2.980543851852417,
938
+ "learning_rate": 9.99796835814306e-07,
939
+ "loss": 0.3367327153682709,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 0.5458248472505092,
944
+ "grad_norm": 2.50433611869812,
945
+ "learning_rate": 9.99754174831625e-07,
946
+ "loss": 0.3090934008359909,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 0.5498981670061099,
951
+ "grad_norm": 2.869647979736328,
952
+ "learning_rate": 9.9970745229063e-07,
953
+ "loss": 0.35603591799736023,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 0.5539714867617108,
958
+ "grad_norm": 2.6435837745666504,
959
+ "learning_rate": 9.9965666857104e-07,
960
+ "loss": 0.3288918733596802,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 0.5580448065173116,
965
+ "grad_norm": 2.7970142364501953,
966
+ "learning_rate": 9.996018240855806e-07,
967
+ "loss": 0.3878723680973053,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 0.5621181262729125,
972
+ "grad_norm": 2.593043327331543,
973
+ "learning_rate": 9.995429192799788e-07,
974
+ "loss": 0.3534126281738281,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 0.5661914460285132,
979
+ "grad_norm": 2.8867013454437256,
980
+ "learning_rate": 9.994799546329602e-07,
981
+ "loss": 0.38061630725860596,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 0.570264765784114,
986
+ "grad_norm": 2.589017152786255,
987
+ "learning_rate": 9.994129306562458e-07,
988
+ "loss": 0.37725748121738434,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 0.5743380855397149,
993
+ "grad_norm": 2.369696617126465,
994
+ "learning_rate": 9.993418478945472e-07,
995
+ "loss": 0.32034583389759064,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 0.5784114052953157,
1000
+ "grad_norm": 2.6410069465637207,
1001
+ "learning_rate": 9.992667069255618e-07,
1002
+ "loss": 0.36017628014087677,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 0.5824847250509165,
1007
+ "grad_norm": 2.597259283065796,
1008
+ "learning_rate": 9.991875083599688e-07,
1009
+ "loss": 0.32577911019325256,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 0.5865580448065173,
1014
+ "grad_norm": 2.761859655380249,
1015
+ "learning_rate": 9.991042528414237e-07,
1016
+ "loss": 0.33353830873966217,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 0.5906313645621182,
1021
+ "grad_norm": 2.7634713649749756,
1022
+ "learning_rate": 9.990169410465536e-07,
1023
+ "loss": 0.33604632318019867,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 0.594704684317719,
1028
+ "grad_norm": 2.820897340774536,
1029
+ "learning_rate": 9.98925573684951e-07,
1030
+ "loss": 0.3069554716348648,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 0.5987780040733197,
1035
+ "grad_norm": 2.856700897216797,
1036
+ "learning_rate": 9.98830151499169e-07,
1037
+ "loss": 0.33896636962890625,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 0.6028513238289206,
1042
+ "grad_norm": 2.9203782081604004,
1043
+ "learning_rate": 9.987306752647142e-07,
1044
+ "loss": 0.35070909559726715,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 0.6069246435845214,
1049
+ "grad_norm": 2.679352283477783,
1050
+ "learning_rate": 9.986271457900414e-07,
1051
+ "loss": 0.3325359970331192,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 0.6109979633401222,
1056
+ "grad_norm": 2.4953606128692627,
1057
+ "learning_rate": 9.98519563916546e-07,
1058
+ "loss": 0.32330869138240814,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 0.615071283095723,
1063
+ "grad_norm": 2.618744134902954,
1064
+ "learning_rate": 9.98407930518558e-07,
1065
+ "loss": 0.33912393450737,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 0.6191446028513238,
1070
+ "grad_norm": 2.6512296199798584,
1071
+ "learning_rate": 9.982922465033348e-07,
1072
+ "loss": 0.3045920431613922,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 0.6232179226069247,
1077
+ "grad_norm": 2.7606050968170166,
1078
+ "learning_rate": 9.981725128110532e-07,
1079
+ "loss": 0.32916732132434845,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 0.6272912423625254,
1084
+ "grad_norm": 2.95037841796875,
1085
+ "learning_rate": 9.980487304148024e-07,
1086
+ "loss": 0.36757831275463104,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 0.6313645621181263,
1091
+ "grad_norm": 2.890489339828491,
1092
+ "learning_rate": 9.97920900320576e-07,
1093
+ "loss": 0.36117151379585266,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 0.6354378818737271,
1098
+ "grad_norm": 2.7488858699798584,
1099
+ "learning_rate": 9.97789023567263e-07,
1100
+ "loss": 0.35026322305202484,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 0.639511201629328,
1105
+ "grad_norm": 2.5479671955108643,
1106
+ "learning_rate": 9.976531012266413e-07,
1107
+ "loss": 0.308156818151474,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 0.6435845213849287,
1112
+ "grad_norm": 2.717344045639038,
1113
+ "learning_rate": 9.975131344033664e-07,
1114
+ "loss": 0.29827529191970825,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 0.6476578411405295,
1119
+ "grad_norm": 2.569551467895508,
1120
+ "learning_rate": 9.973691242349648e-07,
1121
+ "loss": 0.3232528269290924,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 0.6517311608961304,
1126
+ "grad_norm": 3.0013420581817627,
1127
+ "learning_rate": 9.972210718918233e-07,
1128
+ "loss": 0.3270832598209381,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 0.6558044806517311,
1133
+ "grad_norm": 2.7339162826538086,
1134
+ "learning_rate": 9.970689785771798e-07,
1135
+ "loss": 0.3668155074119568,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 0.659877800407332,
1140
+ "grad_norm": 2.6689724922180176,
1141
+ "learning_rate": 9.969128455271137e-07,
1142
+ "loss": 0.32853490114212036,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 0.6639511201629328,
1147
+ "grad_norm": 3.042081117630005,
1148
+ "learning_rate": 9.967526740105358e-07,
1149
+ "loss": 0.3487651199102402,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 0.6680244399185336,
1154
+ "grad_norm": 2.4641284942626953,
1155
+ "learning_rate": 9.965884653291783e-07,
1156
+ "loss": 0.35704147815704346,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 0.6720977596741344,
1161
+ "grad_norm": 2.6836225986480713,
1162
+ "learning_rate": 9.964202208175833e-07,
1163
+ "loss": 0.33587950468063354,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 0.6761710794297352,
1168
+ "grad_norm": 2.2905988693237305,
1169
+ "learning_rate": 9.962479418430932e-07,
1170
+ "loss": 0.3061918318271637,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 0.6802443991853361,
1175
+ "grad_norm": 2.4772934913635254,
1176
+ "learning_rate": 9.960716298058381e-07,
1177
+ "loss": 0.2896444499492645,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 0.6843177189409368,
1182
+ "grad_norm": 2.6987321376800537,
1183
+ "learning_rate": 9.958912861387258e-07,
1184
+ "loss": 0.3374595195055008,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 0.6883910386965377,
1189
+ "grad_norm": 2.6165449619293213,
1190
+ "learning_rate": 9.9570691230743e-07,
1191
+ "loss": 0.33027225732803345,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 0.6924643584521385,
1196
+ "grad_norm": 3.1326680183410645,
1197
+ "learning_rate": 9.955185098103771e-07,
1198
+ "loss": 0.3138381540775299,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 0.6965376782077393,
1203
+ "grad_norm": 2.5313732624053955,
1204
+ "learning_rate": 9.953260801787356e-07,
1205
+ "loss": 0.31824737787246704,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 0.7006109979633401,
1210
+ "grad_norm": 2.529325008392334,
1211
+ "learning_rate": 9.951296249764025e-07,
1212
+ "loss": 0.298155277967453,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 0.7046843177189409,
1217
+ "grad_norm": 2.6821744441986084,
1218
+ "learning_rate": 9.949291457999916e-07,
1219
+ "loss": 0.33296874165534973,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 0.7087576374745418,
1224
+ "grad_norm": 2.588157892227173,
1225
+ "learning_rate": 9.947246442788193e-07,
1226
+ "loss": 0.31226691603660583,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 0.7128309572301426,
1231
+ "grad_norm": 2.7822420597076416,
1232
+ "learning_rate": 9.945161220748927e-07,
1233
+ "loss": 0.322743222117424,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 0.7169042769857433,
1238
+ "grad_norm": 2.379702091217041,
1239
+ "learning_rate": 9.943035808828953e-07,
1240
+ "loss": 0.3056500107049942,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 0.7209775967413442,
1245
+ "grad_norm": 2.4450721740722656,
1246
+ "learning_rate": 9.94087022430173e-07,
1247
+ "loss": 0.3037564754486084,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 0.725050916496945,
1252
+ "grad_norm": 2.5885887145996094,
1253
+ "learning_rate": 9.938664484767205e-07,
1254
+ "loss": 0.327587828040123,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 0.7291242362525459,
1259
+ "grad_norm": 2.613290309906006,
1260
+ "learning_rate": 9.936418608151675e-07,
1261
+ "loss": 0.33323927223682404,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 0.7331975560081466,
1266
+ "grad_norm": 2.6541707515716553,
1267
+ "learning_rate": 9.93413261270763e-07,
1268
+ "loss": 0.3316569924354553,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 0.7372708757637475,
1273
+ "grad_norm": 2.646383047103882,
1274
+ "learning_rate": 9.931806517013612e-07,
1275
+ "loss": 0.35486292839050293,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 0.7413441955193483,
1280
+ "grad_norm": 2.5270328521728516,
1281
+ "learning_rate": 9.92944033997406e-07,
1282
+ "loss": 0.3157142102718353,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 0.745417515274949,
1287
+ "grad_norm": 2.5851869583129883,
1288
+ "learning_rate": 9.927034100819163e-07,
1289
+ "loss": 0.3013855814933777,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 0.7494908350305499,
1294
+ "grad_norm": 2.75219988822937,
1295
+ "learning_rate": 9.924587819104695e-07,
1296
+ "loss": 0.3420049250125885,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 0.7535641547861507,
1301
+ "grad_norm": 2.436596632003784,
1302
+ "learning_rate": 9.922101514711865e-07,
1303
+ "loss": 0.3062688261270523,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 0.7576374745417516,
1308
+ "grad_norm": 2.9479236602783203,
1309
+ "learning_rate": 9.919575207847145e-07,
1310
+ "loss": 0.31793762743473053,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 0.7617107942973523,
1315
+ "grad_norm": 2.5482208728790283,
1316
+ "learning_rate": 9.917008919042116e-07,
1317
+ "loss": 0.3306496888399124,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 0.7657841140529531,
1322
+ "grad_norm": 2.609839677810669,
1323
+ "learning_rate": 9.914402669153295e-07,
1324
+ "loss": 0.29324449598789215,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 0.769857433808554,
1329
+ "grad_norm": 2.5740039348602295,
1330
+ "learning_rate": 9.91175647936197e-07,
1331
+ "loss": 0.3193310797214508,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 0.7739307535641547,
1336
+ "grad_norm": 2.3878629207611084,
1337
+ "learning_rate": 9.909070371174019e-07,
1338
+ "loss": 0.3040658235549927,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 0.7780040733197556,
1343
+ "grad_norm": 2.755152463912964,
1344
+ "learning_rate": 9.906344366419746e-07,
1345
+ "loss": 0.33930477499961853,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 0.7820773930753564,
1350
+ "grad_norm": 2.58367657661438,
1351
+ "learning_rate": 9.9035784872537e-07,
1352
+ "loss": 0.3244568109512329,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 0.7861507128309573,
1357
+ "grad_norm": 2.350712537765503,
1358
+ "learning_rate": 9.90077275615449e-07,
1359
+ "loss": 0.2779058516025543,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 0.790224032586558,
1364
+ "grad_norm": 2.7418465614318848,
1365
+ "learning_rate": 9.897927195924608e-07,
1366
+ "loss": 0.32641272246837616,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 0.7942973523421588,
1371
+ "grad_norm": 2.516510009765625,
1372
+ "learning_rate": 9.895041829690238e-07,
1373
+ "loss": 0.3083319664001465,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 0.7983706720977597,
1378
+ "grad_norm": 2.7772316932678223,
1379
+ "learning_rate": 9.892116680901084e-07,
1380
+ "loss": 0.30357757210731506,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 0.8024439918533605,
1385
+ "grad_norm": 2.5389041900634766,
1386
+ "learning_rate": 9.88915177333015e-07,
1387
+ "loss": 0.30694054067134857,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 0.8065173116089613,
1392
+ "grad_norm": 2.7129383087158203,
1393
+ "learning_rate": 9.886147131073579e-07,
1394
+ "loss": 0.3402569591999054,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 0.8105906313645621,
1399
+ "grad_norm": 2.654186248779297,
1400
+ "learning_rate": 9.883102778550434e-07,
1401
+ "loss": 0.3343619704246521,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 0.814663951120163,
1406
+ "grad_norm": 2.380168914794922,
1407
+ "learning_rate": 9.880018740502508e-07,
1408
+ "loss": 0.3020651191473007,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 0.8187372708757638,
1413
+ "grad_norm": 2.771951198577881,
1414
+ "learning_rate": 9.876895041994127e-07,
1415
+ "loss": 0.30565840005874634,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 0.8228105906313645,
1420
+ "grad_norm": 2.4966540336608887,
1421
+ "learning_rate": 9.873731708411939e-07,
1422
+ "loss": 0.3085058331489563,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 0.8268839103869654,
1427
+ "grad_norm": 2.5919551849365234,
1428
+ "learning_rate": 9.870528765464711e-07,
1429
+ "loss": 0.34540820121765137,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 0.8309572301425662,
1434
+ "grad_norm": 3.0668885707855225,
1435
+ "learning_rate": 9.867286239183122e-07,
1436
+ "loss": 0.3307037353515625,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 0.835030549898167,
1441
+ "grad_norm": 2.4281554222106934,
1442
+ "learning_rate": 9.864004155919544e-07,
1443
+ "loss": 0.28929875791072845,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 0.8391038696537678,
1448
+ "grad_norm": 2.5561623573303223,
1449
+ "learning_rate": 9.860682542347838e-07,
1450
+ "loss": 0.3272414803504944,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 0.8431771894093686,
1455
+ "grad_norm": 2.824591636657715,
1456
+ "learning_rate": 9.85732142546313e-07,
1457
+ "loss": 0.3192295432090759,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 0.8472505091649695,
1462
+ "grad_norm": 2.643718719482422,
1463
+ "learning_rate": 9.853920832581597e-07,
1464
+ "loss": 0.31284041702747345,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 0.8513238289205702,
1469
+ "grad_norm": 2.6777195930480957,
1470
+ "learning_rate": 9.850480791340236e-07,
1471
+ "loss": 0.3136574327945709,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 0.8553971486761711,
1476
+ "grad_norm": 2.5229766368865967,
1477
+ "learning_rate": 9.847001329696652e-07,
1478
+ "loss": 0.3047819435596466,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 0.8594704684317719,
1483
+ "grad_norm": 2.659447431564331,
1484
+ "learning_rate": 9.843482475928818e-07,
1485
+ "loss": 0.3642407953739166,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 0.8635437881873728,
1490
+ "grad_norm": 2.697049379348755,
1491
+ "learning_rate": 9.839924258634853e-07,
1492
+ "loss": 0.3134022653102875,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 0.8676171079429735,
1497
+ "grad_norm": 2.629868745803833,
1498
+ "learning_rate": 9.83632670673279e-07,
1499
+ "loss": 0.306331992149353,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 0.8716904276985743,
1504
+ "grad_norm": 2.4997003078460693,
1505
+ "learning_rate": 9.832689849460339e-07,
1506
+ "loss": 0.3142865002155304,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 0.8757637474541752,
1511
+ "grad_norm": 2.826869010925293,
1512
+ "learning_rate": 9.829013716374647e-07,
1513
+ "loss": 0.2904099076986313,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 0.879837067209776,
1518
+ "grad_norm": 2.6697499752044678,
1519
+ "learning_rate": 9.825298337352058e-07,
1520
+ "loss": 0.29838354885578156,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 0.8839103869653768,
1525
+ "grad_norm": 2.5330023765563965,
1526
+ "learning_rate": 9.821543742587876e-07,
1527
+ "loss": 0.3052047789096832,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 0.8879837067209776,
1532
+ "grad_norm": 2.806683301925659,
1533
+ "learning_rate": 9.817749962596114e-07,
1534
+ "loss": 0.3121778964996338,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 0.8920570264765784,
1539
+ "grad_norm": 2.718122720718384,
1540
+ "learning_rate": 9.81391702820925e-07,
1541
+ "loss": 0.32955022156238556,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 0.8961303462321792,
1546
+ "grad_norm": 2.346466541290283,
1547
+ "learning_rate": 9.81004497057797e-07,
1548
+ "loss": 0.291049063205719,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 0.90020366598778,
1553
+ "grad_norm": 2.4048361778259277,
1554
+ "learning_rate": 9.806133821170924e-07,
1555
+ "loss": 0.30249159038066864,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 0.9042769857433809,
1560
+ "grad_norm": 2.681546688079834,
1561
+ "learning_rate": 9.80218361177446e-07,
1562
+ "loss": 0.362154021859169,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 0.9083503054989817,
1567
+ "grad_norm": 2.792266368865967,
1568
+ "learning_rate": 9.798194374492375e-07,
1569
+ "loss": 0.28344525396823883,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 0.9124236252545825,
1574
+ "grad_norm": 2.507050037384033,
1575
+ "learning_rate": 9.794166141745646e-07,
1576
+ "loss": 0.2935172915458679,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 0.9164969450101833,
1581
+ "grad_norm": 2.7160379886627197,
1582
+ "learning_rate": 9.790098946272177e-07,
1583
+ "loss": 0.3005199581384659,
1584
+ "step": 225
1585
+ },
1586
+ {
1587
+ "epoch": 0.9205702647657841,
1588
+ "grad_norm": 2.666494131088257,
1589
+ "learning_rate": 9.785992821126518e-07,
1590
+ "loss": 0.30710943043231964,
1591
+ "step": 226
1592
+ },
1593
+ {
1594
+ "epoch": 0.924643584521385,
1595
+ "grad_norm": 2.699313163757324,
1596
+ "learning_rate": 9.781847799679615e-07,
1597
+ "loss": 0.3164513558149338,
1598
+ "step": 227
1599
+ },
1600
+ {
1601
+ "epoch": 0.9287169042769857,
1602
+ "grad_norm": 2.49406099319458,
1603
+ "learning_rate": 9.777663915618517e-07,
1604
+ "loss": 0.3061770647764206,
1605
+ "step": 228
1606
+ },
1607
+ {
1608
+ "epoch": 0.9327902240325866,
1609
+ "grad_norm": 2.552093029022217,
1610
+ "learning_rate": 9.773441202946121e-07,
1611
+ "loss": 0.2973909080028534,
1612
+ "step": 229
1613
+ },
1614
+ {
1615
+ "epoch": 0.9368635437881874,
1616
+ "grad_norm": 2.5773231983184814,
1617
+ "learning_rate": 9.76917969598089e-07,
1618
+ "loss": 0.31120532751083374,
1619
+ "step": 230
1620
+ },
1621
+ {
1622
+ "epoch": 0.9409368635437881,
1623
+ "grad_norm": 2.653515100479126,
1624
+ "learning_rate": 9.76487942935657e-07,
1625
+ "loss": 0.3365926146507263,
1626
+ "step": 231
1627
+ },
1628
+ {
1629
+ "epoch": 0.945010183299389,
1630
+ "grad_norm": 2.670433282852173,
1631
+ "learning_rate": 9.760540438021907e-07,
1632
+ "loss": 0.3196941614151001,
1633
+ "step": 232
1634
+ },
1635
+ {
1636
+ "epoch": 0.9490835030549898,
1637
+ "grad_norm": 2.892035961151123,
1638
+ "learning_rate": 9.756162757240373e-07,
1639
+ "loss": 0.33982205390930176,
1640
+ "step": 233
1641
+ },
1642
+ {
1643
+ "epoch": 0.9531568228105907,
1644
+ "grad_norm": 2.5157856941223145,
1645
+ "learning_rate": 9.751746422589872e-07,
1646
+ "loss": 0.2537951096892357,
1647
+ "step": 234
1648
+ },
1649
+ {
1650
+ "epoch": 0.9572301425661914,
1651
+ "grad_norm": 2.6808388233184814,
1652
+ "learning_rate": 9.747291469962452e-07,
1653
+ "loss": 0.2846526652574539,
1654
+ "step": 235
1655
+ },
1656
+ {
1657
+ "epoch": 0.9613034623217923,
1658
+ "grad_norm": 2.451559066772461,
1659
+ "learning_rate": 9.742797935564011e-07,
1660
+ "loss": 0.29611095786094666,
1661
+ "step": 236
1662
+ },
1663
+ {
1664
+ "epoch": 0.9653767820773931,
1665
+ "grad_norm": 2.7313358783721924,
1666
+ "learning_rate": 9.738265855914012e-07,
1667
+ "loss": 0.3275996297597885,
1668
+ "step": 237
1669
+ },
1670
+ {
1671
+ "epoch": 0.9694501018329938,
1672
+ "grad_norm": 2.5593299865722656,
1673
+ "learning_rate": 9.733695267845171e-07,
1674
+ "loss": 0.2993656247854233,
1675
+ "step": 238
1676
+ },
1677
+ {
1678
+ "epoch": 0.9735234215885947,
1679
+ "grad_norm": 2.6013288497924805,
1680
+ "learning_rate": 9.729086208503173e-07,
1681
+ "loss": 0.31615155935287476,
1682
+ "step": 239
1683
+ },
1684
+ {
1685
+ "epoch": 0.9775967413441955,
1686
+ "grad_norm": 2.5403575897216797,
1687
+ "learning_rate": 9.72443871534636e-07,
1688
+ "loss": 0.2843424677848816,
1689
+ "step": 240
1690
+ },
1691
+ {
1692
+ "epoch": 0.9816700610997964,
1693
+ "grad_norm": 2.4495410919189453,
1694
+ "learning_rate": 9.719752826145432e-07,
1695
+ "loss": 0.2987358868122101,
1696
+ "step": 241
1697
+ },
1698
+ {
1699
+ "epoch": 0.9857433808553971,
1700
+ "grad_norm": 2.719775676727295,
1701
+ "learning_rate": 9.715028578983136e-07,
1702
+ "loss": 0.34320636093616486,
1703
+ "step": 242
1704
+ },
1705
+ {
1706
+ "epoch": 0.9898167006109979,
1707
+ "grad_norm": 2.7152929306030273,
1708
+ "learning_rate": 9.71026601225396e-07,
1709
+ "loss": 0.2937510758638382,
1710
+ "step": 243
1711
+ },
1712
+ {
1713
+ "epoch": 0.9938900203665988,
1714
+ "grad_norm": 2.4305663108825684,
1715
+ "learning_rate": 9.705465164663817e-07,
1716
+ "loss": 0.29807206988334656,
1717
+ "step": 244
1718
+ },
1719
+ {
1720
+ "epoch": 0.9979633401221996,
1721
+ "grad_norm": 2.322704792022705,
1722
+ "learning_rate": 9.700626075229738e-07,
1723
+ "loss": 0.3189048618078232,
1724
+ "step": 245
1725
+ },
1726
+ {
1727
+ "epoch": 1.0,
1728
+ "grad_norm": 2.322704792022705,
1729
+ "learning_rate": 9.695748783279544e-07,
1730
+ "loss": 0.3195984363555908,
1731
+ "step": 246
1732
+ }
1733
+ ],
1734
+ "logging_steps": 1.0,
1735
+ "max_steps": 1225,
1736
+ "num_input_tokens_seen": 0,
1737
+ "num_train_epochs": 5,
1738
+ "save_steps": 100.0,
1739
+ "stateful_callbacks": {
1740
+ "TrainerControl": {
1741
+ "args": {
1742
+ "should_epoch_stop": false,
1743
+ "should_evaluate": false,
1744
+ "should_log": false,
1745
+ "should_save": true,
1746
+ "should_training_stop": false
1747
+ },
1748
+ "attributes": {}
1749
+ }
1750
+ },
1751
+ "total_flos": 0.0,
1752
+ "train_batch_size": 2,
1753
+ "trial_name": null,
1754
+ "trial_params": null
1755
+ }
checkpoint-246/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5ba1195b28d4eb5f6c01fc66fa88747aff65390ba93c1fc53707d292a8b581b
3
+ size 7672
checkpoint-246/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-492/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-492/chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
checkpoint-492/config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/ma-user/work/haozhe/muze/models/Qwen2.5-VL-7B-Instruct",
3
+ "architectures": [
4
+ "Qwen2_5_VLForConditionalGeneration"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "image_token_id": 151655,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 18944,
14
+ "max_position_embeddings": 128000,
15
+ "max_window_layers": 28,
16
+ "model_type": "qwen2_5_vl",
17
+ "num_attention_heads": 28,
18
+ "num_hidden_layers": 28,
19
+ "num_key_value_heads": 4,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "mrope_section": [
23
+ 16,
24
+ 24,
25
+ 24
26
+ ],
27
+ "rope_type": "default",
28
+ "type": "default"
29
+ },
30
+ "rope_theta": 1000000.0,
31
+ "sliding_window": 32768,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "bfloat16",
34
+ "transformers_version": "4.50.0.dev0",
35
+ "use_cache": false,
36
+ "use_sliding_window": false,
37
+ "video_token_id": 151656,
38
+ "vision_config": {
39
+ "hidden_size": 1280,
40
+ "in_chans": 3,
41
+ "model_type": "qwen2_5_vl",
42
+ "spatial_patch_size": 14,
43
+ "tokens_per_second": 2,
44
+ "torch_dtype": "bfloat16"
45
+ },
46
+ "vision_end_token_id": 151653,
47
+ "vision_start_token_id": 151652,
48
+ "vision_token_id": 151654,
49
+ "vocab_size": 152064
50
+ }
checkpoint-492/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "attn_implementation": "flash_attention_2",
3
+ "bos_token_id": 151643,
4
+ "do_sample": true,
5
+ "eos_token_id": [
6
+ 151645,
7
+ 151643
8
+ ],
9
+ "pad_token_id": 151643,
10
+ "repetition_penalty": 1.05,
11
+ "temperature": 1e-06,
12
+ "transformers_version": "4.50.0.dev0",
13
+ "use_cache": false
14
+ }
checkpoint-492/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-492/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dab54da621665034af8389ddfcf48837d451fe2cc29e88789b22f52e3465e880
3
+ size 4968243304
checkpoint-492/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b88f497982e256b973744ece545b19bb9766064c261f3c5d5f4d36e2dae0d2ba
3
+ size 4991495816
checkpoint-492/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd24fcaebde5bc06b3127411ab92d7ada5ce8d528622bb9ab308bcf2c1a452d8
3
+ size 4932751040
checkpoint-492/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de8e42ce7d60b868b1f86fd1b600f52074e53c833a864ea5720a7355bff28adc
3
+ size 1691924384
checkpoint-492/model.safetensors.index.json ADDED
@@ -0,0 +1,736 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16584333312
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00004-of-00004.safetensors",
345
+ "visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
346
+ "visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
347
+ "visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
348
+ "visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
349
+ "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
350
+ "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
351
+ "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
352
+ "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
354
+ "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
355
+ "visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
356
+ "visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
357
+ "visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
358
+ "visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
359
+ "visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
360
+ "visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
361
+ "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
362
+ "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
364
+ "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
365
+ "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
366
+ "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
367
+ "visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
368
+ "visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
369
+ "visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
370
+ "visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
371
+ "visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
372
+ "visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
373
+ "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
374
+ "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
375
+ "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
376
+ "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
377
+ "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
378
+ "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
379
+ "visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
380
+ "visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
381
+ "visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
382
+ "visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
383
+ "visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
384
+ "visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
385
+ "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
386
+ "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
387
+ "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
388
+ "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
389
+ "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
390
+ "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
391
+ "visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
392
+ "visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
393
+ "visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
394
+ "visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
395
+ "visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
396
+ "visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
397
+ "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
398
+ "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
399
+ "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
400
+ "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
401
+ "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
402
+ "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
403
+ "visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
404
+ "visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
405
+ "visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
406
+ "visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
407
+ "visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
408
+ "visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
409
+ "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
410
+ "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
411
+ "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
412
+ "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
413
+ "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
414
+ "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
415
+ "visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
416
+ "visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
417
+ "visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
418
+ "visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
419
+ "visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
420
+ "visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
421
+ "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
422
+ "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
423
+ "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
424
+ "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
425
+ "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
426
+ "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
427
+ "visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
428
+ "visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
429
+ "visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
430
+ "visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
431
+ "visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
432
+ "visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
433
+ "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
434
+ "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
435
+ "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
436
+ "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
437
+ "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
438
+ "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
439
+ "visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
440
+ "visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
441
+ "visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
442
+ "visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
443
+ "visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
444
+ "visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
445
+ "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
446
+ "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
447
+ "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
448
+ "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
449
+ "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
450
+ "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
451
+ "visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
452
+ "visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
453
+ "visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
454
+ "visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
455
+ "visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
456
+ "visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
457
+ "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
458
+ "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
459
+ "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
460
+ "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
461
+ "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
462
+ "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
463
+ "visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
464
+ "visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
465
+ "visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
466
+ "visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
467
+ "visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
468
+ "visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
469
+ "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
470
+ "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
471
+ "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
472
+ "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
473
+ "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
474
+ "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
475
+ "visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
476
+ "visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
477
+ "visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
478
+ "visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
479
+ "visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
480
+ "visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
481
+ "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
482
+ "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
483
+ "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
484
+ "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
485
+ "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
486
+ "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
487
+ "visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
488
+ "visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
489
+ "visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
490
+ "visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
491
+ "visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
492
+ "visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
493
+ "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
494
+ "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
495
+ "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
496
+ "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
497
+ "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
498
+ "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
499
+ "visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
500
+ "visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
501
+ "visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
502
+ "visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
503
+ "visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
504
+ "visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
505
+ "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
506
+ "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
507
+ "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
508
+ "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
509
+ "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
510
+ "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
511
+ "visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
512
+ "visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
513
+ "visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
514
+ "visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
515
+ "visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
516
+ "visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
517
+ "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
518
+ "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
519
+ "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
520
+ "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
521
+ "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
522
+ "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
523
+ "visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
524
+ "visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
525
+ "visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
526
+ "visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
527
+ "visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
528
+ "visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
529
+ "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
530
+ "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
531
+ "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
532
+ "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
533
+ "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
534
+ "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
535
+ "visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
536
+ "visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
537
+ "visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
538
+ "visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
539
+ "visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
540
+ "visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
541
+ "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
542
+ "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
543
+ "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
544
+ "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
545
+ "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
546
+ "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
547
+ "visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
548
+ "visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
549
+ "visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
550
+ "visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
551
+ "visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
552
+ "visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
553
+ "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
554
+ "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
555
+ "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
556
+ "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
557
+ "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
558
+ "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
559
+ "visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
560
+ "visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
561
+ "visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
562
+ "visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
563
+ "visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
564
+ "visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
565
+ "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
566
+ "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
567
+ "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
568
+ "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
569
+ "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
570
+ "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
571
+ "visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
572
+ "visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
573
+ "visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
574
+ "visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
575
+ "visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
576
+ "visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
577
+ "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
578
+ "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
579
+ "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
580
+ "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
581
+ "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
582
+ "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
583
+ "visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
584
+ "visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
585
+ "visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
586
+ "visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
587
+ "visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
588
+ "visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
589
+ "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
590
+ "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
591
+ "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
592
+ "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
593
+ "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
594
+ "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
595
+ "visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
596
+ "visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
597
+ "visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
598
+ "visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
599
+ "visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
600
+ "visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
601
+ "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
602
+ "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
603
+ "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
604
+ "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
605
+ "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
606
+ "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
607
+ "visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
608
+ "visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
609
+ "visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
610
+ "visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
611
+ "visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
612
+ "visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
613
+ "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
614
+ "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
615
+ "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
616
+ "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
617
+ "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
618
+ "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
619
+ "visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
620
+ "visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
621
+ "visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
622
+ "visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
623
+ "visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
624
+ "visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
625
+ "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
626
+ "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
627
+ "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
628
+ "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
629
+ "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
630
+ "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
631
+ "visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
632
+ "visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
633
+ "visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
634
+ "visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
635
+ "visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
636
+ "visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
637
+ "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
638
+ "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
639
+ "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
640
+ "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
641
+ "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
642
+ "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
643
+ "visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
644
+ "visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
645
+ "visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
646
+ "visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
647
+ "visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
648
+ "visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
649
+ "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
650
+ "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
651
+ "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
652
+ "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
653
+ "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
654
+ "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
655
+ "visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
656
+ "visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
657
+ "visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
658
+ "visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
659
+ "visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
660
+ "visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
661
+ "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
662
+ "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
663
+ "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
664
+ "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
665
+ "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
666
+ "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
667
+ "visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
668
+ "visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
669
+ "visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
670
+ "visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
671
+ "visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
672
+ "visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
673
+ "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
674
+ "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
675
+ "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
676
+ "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
677
+ "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
678
+ "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
679
+ "visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
680
+ "visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
681
+ "visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
682
+ "visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
683
+ "visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
684
+ "visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
685
+ "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
686
+ "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
687
+ "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
688
+ "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
689
+ "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
690
+ "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
691
+ "visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
692
+ "visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
693
+ "visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
694
+ "visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
695
+ "visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
696
+ "visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
697
+ "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
698
+ "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
699
+ "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
700
+ "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
701
+ "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
702
+ "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
703
+ "visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
704
+ "visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
705
+ "visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
706
+ "visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
707
+ "visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
708
+ "visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
709
+ "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
710
+ "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
711
+ "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
712
+ "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
713
+ "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
714
+ "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
715
+ "visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
716
+ "visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
717
+ "visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
718
+ "visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
719
+ "visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
720
+ "visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
721
+ "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
722
+ "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
723
+ "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
724
+ "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
725
+ "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
726
+ "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
727
+ "visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
728
+ "visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
729
+ "visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
730
+ "visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
731
+ "visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
732
+ "visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
733
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
734
+ "visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
735
+ }
736
+ }
checkpoint-492/preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 4014080,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2_5_VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
checkpoint-492/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-492/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896