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README.md CHANGED
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  ---
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- license: unknown
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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: 0.1
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+ - desc_act: True
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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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+
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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": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
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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": 16,
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+ "revision": null,
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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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+ "task_type": "CAUSAL_LM"
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+ }
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+ "bos_token": "<s>",
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+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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