---
library_name: peft
---
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- 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: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
### Framework versions


- PEFT 0.5.0

# [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_Charlie911__vicuna-7b-v1.5-lora-mixed-datasets)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 43.51   |
| ARC (25-shot)         | 51.71          |
| HellaSwag (10-shot)   | 76.44    |
| MMLU (5-shot)         | 50.13         |
| TruthfulQA (0-shot)   | 39.57   |
| Winogrande (5-shot)   | 73.24   |
| GSM8K (5-shot)        | 7.13        |
| DROP (3-shot)         | 6.39         |