Initial commit
Browse files- logs.txt +339 -0
- merges.txt +0 -0
- mlc-chat-config.json +83 -0
- ndarray-cache-b16.json +0 -0
- ndarray-cache.json +0 -0
- params_shard_0.bin +3 -0
- params_shard_1.bin +3 -0
- params_shard_2.bin +3 -0
- params_shard_3.bin +3 -0
- params_shard_4.bin +3 -0
- params_shard_5.bin +3 -0
- params_shard_6.bin +3 -0
- params_shard_7.bin +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
- vocab.json +0 -0
logs.txt
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1 |
+
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-0.5B-Chat --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC
|
2 |
+
[2024-06-04 03:31:01] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen1.5-0.5B-Chat/config.json
|
3 |
+
[2024-06-04 03:31:01] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
|
4 |
+
[2024-06-04 03:31:01] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
|
5 |
+
[2024-06-04 03:31:01] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
|
6 |
+
[2024-06-04 03:31:01] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
|
7 |
+
[2024-06-04 03:31:01] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643
|
8 |
+
[2024-06-04 03:31:01] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643
|
9 |
+
[2024-06-04 03:31:01] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643]
|
10 |
+
[2024-06-04 03:31:01] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.1
|
11 |
+
[2024-06-04 03:31:01] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8
|
12 |
+
[2024-06-04 03:31:01] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.model
|
13 |
+
[2024-06-04 03:31:01] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/tokenizer.json[0m
|
14 |
+
[2024-06-04 03:31:01] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/vocab.json[0m
|
15 |
+
[2024-06-04 03:31:01] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/merges.txt[0m
|
16 |
+
[2024-06-04 03:31:01] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/added_tokens.json
|
17 |
+
[2024-06-04 03:31:01] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/tokenizer_config.json[0m
|
18 |
+
[2024-06-04 03:31:01] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
|
19 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0
|
20 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
|
21 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
|
22 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mmean_gen_len[0m: 128
|
23 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mmax_gen_len[0m: 512
|
24 |
+
[2024-06-04 03:31:01] INFO gen_config.py:32: [System default] Setting [1mshift_fill_factor[0m: 0.3
|
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[2024-06-04 03:31:01] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/mlc-chat-config.json[0m
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-0.5B-Chat --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC
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[2024-06-04 03:31:11] INFO auto_weight.py:161: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
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[2024-06-04 03:31:11] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen1.5-0.5B-Chat/model.safetensors.index.json[0m. Use `--source` to override.
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[2024-06-04 03:31:11] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
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[2024-06-04 03:31:11] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
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[2024-06-04 03:31:11] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048
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[1mWeight conversion with arguments:[0m
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[1m--config[0m /models/Qwen1.5-0.5B-Chat/config.json
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[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7)
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[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC
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[2024-06-04 03:31:19] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-0.5B-Chat/model.safetensors
|
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[2024-06-04 03:31:19] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.637 sec; Pre-quantization mapping: 0.799 sec; Quantization: 2.662 sec
|
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[2024-06-04 03:31:19] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 2.308 GB. Total bytes loaded from disk: 2.308 GB
|
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[2024-06-04 03:31:19] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 0.361 GB
|
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[2024-06-04 03:31:19] INFO convert_weight.py:160: [92mTotal parameters[0m: 619,570,176
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[2024-06-04 03:31:19] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.005
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[2024-06-04 03:31:19] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC[0m
|
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All finished, 8 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/ndarray-cache.json
|
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+
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q4f32_1-MLC/ndarray-cache-b16.json
|
merges.txt
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mlc-chat-config.json
ADDED
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{
|
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+
"version": "0.1.0",
|
3 |
+
"model_type": "qwen2",
|
4 |
+
"quantization": "q4f32_1",
|
5 |
+
"model_config": {
|
6 |
+
"hidden_act": "silu",
|
7 |
+
"hidden_size": 1024,
|
8 |
+
"intermediate_size": 2816,
|
9 |
+
"num_attention_heads": 16,
|
10 |
+
"num_hidden_layers": 24,
|
11 |
+
"num_key_value_heads": 16,
|
12 |
+
"rms_norm_eps": 1e-06,
|
13 |
+
"rope_theta": 1000000.0,
|
14 |
+
"vocab_size": 151936,
|
15 |
+
"context_window_size": 32768,
|
16 |
+
"prefill_chunk_size": 2048,
|
17 |
+
"tensor_parallel_shards": 1,
|
18 |
+
"head_dim": 64,
|
19 |
+
"dtype": "float32",
|
20 |
+
"max_batch_size": 80
|
21 |
+
},
|
22 |
+
"vocab_size": 151936,
|
23 |
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"context_window_size": 32768,
|
24 |
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"sliding_window_size": -1,
|
25 |
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"prefill_chunk_size": 2048,
|
26 |
+
"attention_sink_size": -1,
|
27 |
+
"tensor_parallel_shards": 1,
|
28 |
+
"temperature": 1.0,
|
29 |
+
"presence_penalty": 0.0,
|
30 |
+
"frequency_penalty": 0.0,
|
31 |
+
"repetition_penalty": 1.1,
|
32 |
+
"top_p": 0.8,
|
33 |
+
"tokenizer_files": [
|
34 |
+
"tokenizer.json",
|
35 |
+
"vocab.json",
|
36 |
+
"merges.txt",
|
37 |
+
"tokenizer_config.json"
|
38 |
+
],
|
39 |
+
"tokenizer_info": {
|
40 |
+
"token_postproc_method": "byte_level",
|
41 |
+
"prepend_space_in_encode": false,
|
42 |
+
"strip_space_in_decode": false
|
43 |
+
},
|
44 |
+
"conv_template": {
|
45 |
+
"name": "chatml",
|
46 |
+
"system_template": "<|im_start|>system\n{system_message}",
|
47 |
+
"system_message": "A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.",
|
48 |
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"system_prefix_token_ids": null,
|
49 |
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"add_role_after_system_message": true,
|
50 |
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"roles": {
|
51 |
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"user": "<|im_start|>user",
|
52 |
+
"assistant": "<|im_start|>assistant"
|
53 |
+
},
|
54 |
+
"role_templates": {
|
55 |
+
"user": "{user_message}",
|
56 |
+
"assistant": "{assistant_message}",
|
57 |
+
"tool": "{tool_message}"
|
58 |
+
},
|
59 |
+
"messages": [],
|
60 |
+
"seps": [
|
61 |
+
"<|im_end|>\n"
|
62 |
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],
|
63 |
+
"role_content_sep": "\n",
|
64 |
+
"role_empty_sep": "\n",
|
65 |
+
"stop_str": [
|
66 |
+
"<|im_end|>"
|
67 |
+
],
|
68 |
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"stop_token_ids": [
|
69 |
+
2
|
70 |
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],
|
71 |
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"function_string": "",
|
72 |
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"use_function_calling": false
|
73 |
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},
|
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"pad_token_id": 151643,
|
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|
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"eos_token_id": [
|
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|
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151643
|
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],
|
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"mean_gen_len": 128,
|
81 |
+
"max_gen_len": 512,
|
82 |
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"shift_fill_factor": 0.3
|
83 |
+
}
|
ndarray-cache-b16.json
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ndarray-cache.json
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params_shard_0.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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params_shard_2.bin
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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params_shard_4.bin
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version https://git-lfs.github.com/spec/v1
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params_shard_5.bin
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params_shard_6.bin
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version https://git-lfs.github.com/spec/v1
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params_shard_7.bin
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
@@ -0,0 +1,40 @@
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|
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|
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|
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|
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|
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|
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"rstrip": false,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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}
|
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},
|
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"additional_special_tokens": ["<|im_start|>", "<|im_end|>"],
|
30 |
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"bos_token": null,
|
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "<|im_end|>",
|
34 |
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"errors": "replace",
|
35 |
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"model_max_length": 32768,
|
36 |
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"pad_token": "<|endoftext|>",
|
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+
"split_special_tokens": false,
|
38 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
39 |
+
"unk_token": null
|
40 |
+
}
|
vocab.json
ADDED
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|