SpiridonSunRotator
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README.md
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---
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library_name: transformers
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tags:
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- llama
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- facebook
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- meta
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- llama-3
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- conversational
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- text-generation-inference
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---
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Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Meta-Llama-3.1-8B-Instruct
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](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) finetuned with [PV-Tuning](https://arxiv.org/abs/2405.14852).
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For this quantization, we used 1 codebook of 16 bits and groupsize of 16.
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Results:
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| Model | Quantization | MMLU (5-shot) | ArcC| ArcE| Hellaswag | PiQA | Winogrande | Model size, Gb |
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|------|------|-------|------|------|------|------|------|------|
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|meta-llama/Meta-Llama-3.1-8B| None | 0.6817 | 0.5162 | 0.8186 | 0.5909 | 0.8014 | 0.7364 | 16.1 |
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| | 1x16g16 | 0.3476 | 0.3174 | 0.6242 | 0.4517 | 0.7073 | 0.6069 | 3.4 |
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**Note**
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We used `lm-eval=0.4.0` for evaluation.
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