---
library_name: peft
license: mit
datasets:
- yahma/alpaca-cleaned
pipeline_tag: text-generation
---

## Quantized LLaMA2 Alpaca
**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).

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
  
### Framework versions


- PEFT 0.4.0