|
--- |
|
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 | |
|
|
