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MRNH
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llama-2-13b-chat-hf

Text Generation
PEFT
PyTorch
llama
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1 Parent(s): 7c4a401

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  1. README.md +65 -0
  2. adapter_model.bin +2 -2
README.md CHANGED
@@ -4,6 +4,66 @@ 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: QuantizationMethod.BITS_AND_BYTES
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  - load_in_8bit: False
@@ -17,5 +77,10 @@ The following `bitsandbytes` quantization config was used during training:
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  - bnb_4bit_compute_dtype: float16
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  ### Framework versions
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  - PEFT 0.5.0
 
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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: QuantizationMethod.BITS_AND_BYTES
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: QuantizationMethod.BITS_AND_BYTES
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: QuantizationMethod.BITS_AND_BYTES
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: QuantizationMethod.BITS_AND_BYTES
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: QuantizationMethod.BITS_AND_BYTES
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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: False
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+ - bnb_4bit_compute_dtype: float16
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+
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  The following `bitsandbytes` quantization config was used during training:
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  - quant_method: QuantizationMethod.BITS_AND_BYTES
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  - load_in_8bit: False
 
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  - bnb_4bit_compute_dtype: float16
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  ### Framework versions
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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
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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- oid sha256:681074037af4dee01dd2c75566db7317aee36406532df1419e3bd8ae52d5ad7f
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- size 209772877
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:3f6d4736850e4aa8ef8fd21b91f8f5fa4216ebfd22201f5a7dff510c500b79ae
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+ size 104913037