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--- |
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library_name: peft |
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license: mit |
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datasets: |
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- yahma/alpaca-cleaned |
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pipeline_tag: text-generation |
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--- |
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## Quantized LLaMA2 Alpaca |
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**quantized-llama2-alpaca** is a fine-tuned version of the [LLaMA2](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/) ([Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b)) model on the [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) dataset using [QLoRA](https://arxiv.org/abs/2305.14314). |
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## Training procedure |
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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: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Framework versions |
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- PEFT 0.4.0 |
