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 0.4.0
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 48.08 |
| ARC (25-shot) | 60.41 |
| HellaSwag (10-shot) | 82.58 |
| MMLU (5-shot) | 55.86 |
| TruthfulQA (0-shot) | 43.61 |
| Winogrande (5-shot) | 76.72 |
| GSM8K (5-shot) | 8.49 |
| DROP (3-shot) | 8.92 |
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Model tree for dhmeltzer/Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16
Base model
meta-llama/Llama-2-13b-hf