metadata
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
Detailed results can be found here
| 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 |