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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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+
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+ For this quantization, we used 2 codebooks of 8 bits and groupsize of 8.
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+
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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-Instruct| None | 0.6817 | 0.5162 | 0.8186 | 0.5909 | 0.8014 | 0.7364 | 16.1 |
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+ | | 1x16g8 | - | 0.4531 | 0.7757 | 0.5459 | 0.7835 | 0.7064 | 3.9 |
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+
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+ **Note**
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+
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+ We used `lm-eval=0.4.0` for evaluation.