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monika-lm-lora-tests

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  1. Ch1bika-v0.1/README.md +20 -0
  2. Ch1bika-v0.1/adapter_config.json +21 -0
  3. Ch1bika-v0.1/adapter_model.bin +3 -0
  4. LLilmonix3b-v0.4/README.md +20 -0
  5. LLilmonix3b-v0.4/adapter_config.json +21 -0
  6. LLilmonix3b-v0.4/adapter_model.bin +3 -0
  7. LLilmonix3b-v0.4/ggml-adapter-model.bin +3 -0
  8. llama-2-7b-monika-v0.3h-Air2.1-a/README.md +20 -0
  9. llama-2-7b-monika-v0.3h-Air2.1-a/adapter_config.json +21 -0
  10. llama-2-7b-monika-v0.3h-Air2.1-a/adapter_model.bin +3 -0
  11. llama-2-7b-monika-v0.3h-Air2.1-a/ggml-adapter-model.bin +3 -0
Ch1bika-v0.1/README.md ADDED
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
Ch1bika-v0.1/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "PY007/TinyLlama-1.1B-step-50K-105b",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.5,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
Ch1bika-v0.1/adapter_model.bin ADDED
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LLilmonix3b-v0.4/README.md ADDED
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1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: False
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
LLilmonix3b-v0.4/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "openlm-research/open_llama_3b_v2",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.5,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
LLilmonix3b-v0.4/adapter_model.bin ADDED
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+ size 42635693
LLilmonix3b-v0.4/ggml-adapter-model.bin ADDED
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llama-2-7b-monika-v0.3h-Air2.1-a/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: False
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
llama-2-7b-monika-v0.3h-Air2.1-a/adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "ethan1278/airoboros-l2-7b-gpt4-2.0-sharded-bf16",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.5,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
llama-2-7b-monika-v0.3h-Air2.1-a/adapter_model.bin ADDED
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llama-2-7b-monika-v0.3h-Air2.1-a/ggml-adapter-model.bin ADDED
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