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  1. README.md +0 -16
  2. adapter_config.json +1 -1
  3. adapter_model.bin +2 -2
README.md CHANGED
@@ -4,21 +4,6 @@ library_name: peft
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  ## Training procedure
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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: False
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- - _load_in_4bit: True
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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: nf4
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- - bnb_4bit_use_double_quant: True
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- - bnb_4bit_compute_dtype: float16
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- - bnb_4bit_quant_storage: uint8
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- - load_in_4bit: True
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- - load_in_8bit: False
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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: False
@@ -35,6 +20,5 @@ The following `bitsandbytes` quantization config was used during training:
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  - load_in_8bit: False
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  ### Framework versions
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- - PEFT 0.4.0
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  - PEFT 0.4.0
 
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  ## Training procedure
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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: False
 
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  - load_in_8bit: False
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  ### Framework versions
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  - PEFT 0.4.0
adapter_config.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "auto_mapping": null,
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- "base_model_name_or_path": null,
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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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  {
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  "auto_mapping": null,
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+ "base_model_name_or_path": "llm-jp/llm-jp-3-13b",
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:2d58bc825cd58498bf0c6bc73ce6442beb23e14e0ac63c886b517e6e2ab910f8
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- size 500907082
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:9a22955a3c2937bd667f59c48736b1698afe1a117a47d8d78b36c4c06aeacea5
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+ size 500897546