Files changed (3) hide show
  1. README.md +21 -0
  2. adapter_config.json +5 -2
  3. adapter_model.bin +2 -2
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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+ ### Framework versions
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+
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+
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+ - PEFT 0.6.0.dev0
adapter_config.json CHANGED
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  {
 
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  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
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  "bias": "none",
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- "enable_lora": null,
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  "fan_in_fan_out": false,
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  "inference_mode": true,
 
 
 
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  "lora_alpha": 16,
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  "lora_dropout": 0.05,
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- "merge_weights": false,
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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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  "target_modules": [
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  "q_proj",
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  "v_proj"
 
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  {
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+ "auto_mapping": null,
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  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
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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": 16,
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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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  "v_proj"
adapter_model.bin CHANGED
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- size 16822989
 
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  version https://git-lfs.github.com/spec/v1
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