---
library_name: peft
---
## 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

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 45.53   |
| ARC (25-shot)         | 55.72          |
| HellaSwag (10-shot)   | 78.75    |
| MMLU (5-shot)         | 47.99         |
| TruthfulQA (0-shot)   | 43.11   |
| Winogrande (5-shot)   | 75.85   |
| GSM8K (5-shot)        | 10.77        |
| DROP (3-shot)         | 6.53         |