---
license: mit
library_name: peft
tags:
- Text Generation
- LLaMA2
- LLM
datasets:
- yahma/alpaca-cleaned
pipeline_tag: text-generation
base_model: meta-llama/Llama-2-7b-hf
---

## Quantized LLaMA2
**quantized-llama2-alpaca** is a fine-tuned version of the **LLaMA2** (Llama-2-7b-hf) model on the **Alpaca** dataset using **QLoRA**.

## 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