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library_name: peft |
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--- |
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## Training procedure |
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Llama2 (7B) model fine-tuned on the CodeAlpaca 20k instructions dataset by using the method QLoRA with PEFT library. |
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Training and evaluation data 📚 |
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CodeAlpaca_20K: contains 20K instruction-following data used for fine-tuning the Code Alpaca model. |
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The following `bitsandbytes` quantization config was used during training: |
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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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### Framework versions |
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- PEFT 0.5.0.dev0 |
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