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--- |
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library_name: peft |
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base_model: NousResearch/Llama-2-13b-hf |
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--- |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Framework versions |
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- PEFT 0.6.0.dev0 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_totally-not-an-llm__EverythingLM-13b-V3-peft) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 51.77 | |
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| ARC (25-shot) | 58.36 | |
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| HellaSwag (10-shot) | 81.03 | |
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| MMLU (5-shot) | 54.7 | |
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| TruthfulQA (0-shot) | 52.98 | |
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| Winogrande (5-shot) | 72.85 | |
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| GSM8K (5-shot) | 5.53 | |
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| DROP (3-shot) | 36.94 | |
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