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llama-2-chat-gptq-english-quotes-test-lora-alpha-64

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  1. checkpoint-500/README.md +27 -0
  2. checkpoint-500/adapter_config.json +23 -0
  3. checkpoint-500/adapter_model.bin +3 -0
  4. checkpoint-500/optimizer.pt +3 -0
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  8. checkpoint-500/training_args.bin +3 -0
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  17. runs/Sep13_22-13-51_b04c78a5e2b1/events.out.tfevents.1694643232.b04c78a5e2b1.20474.0 +3 -0
checkpoint-500/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: 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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+ ### Framework versions
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+
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+
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+ - PEFT 0.5.0
checkpoint-500/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/Llama-2-7b-Chat-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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+ "lora_alpha": 16,
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+ "lora_dropout": 0.1,
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+ "peft_type": "LORA",
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+ "r": 8,
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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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