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---
library_name: peft
base_model: lmsys/vicuna-7b-v1.5
---
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- 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 0.6.0.dev0
# [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_joehuangx__spatial-vicuna-7b-v1.5-LoRA)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 44.55 |
| ARC (25-shot) | 50.77 |
| HellaSwag (10-shot) | 74.63 |
| MMLU (5-shot) | 48.13 |
| TruthfulQA (0-shot) | 49.36 |
| Winogrande (5-shot) | 72.38 |
| GSM8K (5-shot) | 6.9 |
| DROP (3-shot) | 9.72 |
|