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targetmoduleldm

PEFT
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  1. README.md +125 -0
  2. adapter_config.json +27 -0
  3. adapter_model.bin +3 -0
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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+ - quant_method: bitsandbytes
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+ - load_in_8bit: True
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+ - load_in_4bit: False
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - 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: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: True
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+ - load_in_4bit: False
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - 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: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: True
34
+ - load_in_4bit: False
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - 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: fp4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+
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+ The following `bitsandbytes` quantization config was used during training:
44
+ - quant_method: bitsandbytes
45
+ - load_in_8bit: True
46
+ - load_in_4bit: False
47
+ - llm_int8_threshold: 6.0
48
+ - llm_int8_skip_modules: None
49
+ - llm_int8_enable_fp32_cpu_offload: False
50
+ - llm_int8_has_fp16_weight: False
51
+ - bnb_4bit_quant_type: fp4
52
+ - bnb_4bit_use_double_quant: False
53
+ - bnb_4bit_compute_dtype: float32
54
+
55
+ The following `bitsandbytes` quantization config was used during training:
56
+ - quant_method: bitsandbytes
57
+ - load_in_8bit: True
58
+ - load_in_4bit: False
59
+ - llm_int8_threshold: 6.0
60
+ - llm_int8_skip_modules: None
61
+ - llm_int8_enable_fp32_cpu_offload: False
62
+ - llm_int8_has_fp16_weight: False
63
+ - bnb_4bit_quant_type: fp4
64
+ - bnb_4bit_use_double_quant: False
65
+ - bnb_4bit_compute_dtype: float32
66
+
67
+ The following `bitsandbytes` quantization config was used during training:
68
+ - quant_method: bitsandbytes
69
+ - load_in_8bit: True
70
+ - load_in_4bit: False
71
+ - llm_int8_threshold: 6.0
72
+ - llm_int8_skip_modules: None
73
+ - llm_int8_enable_fp32_cpu_offload: False
74
+ - llm_int8_has_fp16_weight: False
75
+ - bnb_4bit_quant_type: fp4
76
+ - bnb_4bit_use_double_quant: False
77
+ - bnb_4bit_compute_dtype: float32
78
+
79
+ The following `bitsandbytes` quantization config was used during training:
80
+ - quant_method: bitsandbytes
81
+ - load_in_8bit: True
82
+ - load_in_4bit: False
83
+ - llm_int8_threshold: 6.0
84
+ - llm_int8_skip_modules: None
85
+ - llm_int8_enable_fp32_cpu_offload: False
86
+ - llm_int8_has_fp16_weight: False
87
+ - bnb_4bit_quant_type: fp4
88
+ - bnb_4bit_use_double_quant: False
89
+ - bnb_4bit_compute_dtype: float32
90
+
91
+ The following `bitsandbytes` quantization config was used during training:
92
+ - quant_method: bitsandbytes
93
+ - load_in_8bit: True
94
+ - load_in_4bit: False
95
+ - llm_int8_threshold: 6.0
96
+ - llm_int8_skip_modules: None
97
+ - llm_int8_enable_fp32_cpu_offload: False
98
+ - llm_int8_has_fp16_weight: False
99
+ - bnb_4bit_quant_type: fp4
100
+ - bnb_4bit_use_double_quant: False
101
+ - bnb_4bit_compute_dtype: float32
102
+
103
+ The following `bitsandbytes` quantization config was used during training:
104
+ - quant_method: bitsandbytes
105
+ - load_in_8bit: True
106
+ - load_in_4bit: False
107
+ - llm_int8_threshold: 6.0
108
+ - llm_int8_skip_modules: None
109
+ - llm_int8_enable_fp32_cpu_offload: False
110
+ - llm_int8_has_fp16_weight: False
111
+ - bnb_4bit_quant_type: fp4
112
+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float32
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+ ### Framework versions
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+
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+ - PEFT 0.5.0
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+
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+ - PEFT 0.5.0
adapter_config.json ADDED
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+ {
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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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": 32,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "k_proj",
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+ "v_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "down_proj",
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+ "up_proj",
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+ "lm_head"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
adapter_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c1345be5c630a6953b0d51c4430d30d112ef61daad6290f411f46ceb66ba9a55
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+ size 85203090