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--- |
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library_name: transformers |
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tags: |
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- aqlm |
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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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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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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 8. |
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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 | 0.5966 | 0.4667 | 0.7790 | 0.5582 | 0.7878 | 0.7001 | 4.1 | |
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**Note** |
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We used `lm-eval=0.4.0` for evaluation. |
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**UPD (09.08.2024)** |
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Uploaded new version finetuned on more data for longer with better quality. |
