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Added evaluation metrics

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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/Llama-3.2-3B-Instruct
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+ ---
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+
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+ Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [meta-llama/Llama-3.2-3B
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+ ](https://huggingface.co/meta-llama/Llama-3.2-3B-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/Llama-3.2-3B-Instruct | fp16 | 0.5984 | 0.4369 | 0.7428 | 0.5224 | 0.7579 | 0.6732 | 6.4 |
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+ | | 2x8g8 | 0.4842 | 0.3686 | 0.7066 | 0.4833 | 0.7274 | 0.6346 | 1.5 |