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README.md CHANGED
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- ---
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- license: bsl-1.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: gptq
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+ - bits: 4
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+ - tokenizer: None
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+ - dataset: None
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+ - group_size: 128
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+ - damp_percent: 0.01
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+ - desc_act: False
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+ - sym: True
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+ - true_sequential: True
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+ - use_cuda_fp16: True
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+ - model_seqlen: None
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+ - block_name_to_quantize: None
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+ - module_name_preceding_first_block: None
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+ - batch_size: 1
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+ - pad_token_id: None
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+ - disable_exllama: True
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+ - max_input_length: None
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: gptq
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+ - bits: 4
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+ - tokenizer: None
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+ - dataset: None
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+ - group_size: 128
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+ - damp_percent: 0.01
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+ - desc_act: False
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+ - sym: True
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+ - true_sequential: True
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+ - use_cuda_fp16: True
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+ - model_seqlen: None
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+ - block_name_to_quantize: None
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+ - module_name_preceding_first_block: None
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+ - batch_size: 1
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+ - pad_token_id: None
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+ - disable_exllama: True
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+ - max_input_length: None
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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
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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: fp4
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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: 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: fp4
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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: 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: fp4
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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: gptq
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+ - bits: 4
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+ - tokenizer: None
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+ - dataset: None
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+ - group_size: 128
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+ - damp_percent: 0.01
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+ - desc_act: False
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+ - sym: True
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+ - true_sequential: True
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+ - use_cuda_fp16: False
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+ - model_seqlen: None
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+ - block_name_to_quantize: None
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+ - module_name_preceding_first_block: None
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+ - batch_size: 1
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+ - pad_token_id: None
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+ - disable_exllama: True
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+ - max_input_length: None
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: gptq
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+ - bits: 4
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+ - tokenizer: None
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+ - dataset: None
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+ - group_size: 128
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+ - damp_percent: 0.01
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+ - desc_act: False
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+ - sym: True
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+ - true_sequential: True
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+ - use_cuda_fp16: False
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+ - model_seqlen: None
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+ - block_name_to_quantize: None
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+ - module_name_preceding_first_block: None
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+ - batch_size: 1
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+ - pad_token_id: None
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+ - disable_exllama: True
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+ - max_input_length: None
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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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+
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+ - PEFT 0.5.0
adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "TheBloke/Llama-2-7b-Chat-GPTQ",
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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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+ "k_proj",
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+ "o_proj",
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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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+ }
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special_tokens_map.json ADDED
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+ {
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tokenizer.json ADDED
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tokenizer.model ADDED
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+ {
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+ "sp_model_kwargs": {},
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+ "tokenizer_class": "LlamaTokenizer",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": true
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+ }