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+ ---
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+ base_model:
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+ - meta-llama/Llama-2-70b-hf
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+ base_model_relation: quantized
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+ license: llama2
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+ ---
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+ # Model Card
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+
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+ - Base model: `meta-llama/Llama-2-70b-hf`
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+ - Quantization method: SqueezeLLM
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+ - Target bit-width: 4
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+ - Backend kernel: Any-Precision-LLM kernel (`ap-gemv`)
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+ - Calibration data: RedPajama (1024 sentences / 4096 tokens)
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+ - Calibration objective: Next-token prediction
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+
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+ # How to run
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+ - Follow the instruction in https://github.com/snu-mllab/GuidedQuant.
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+
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+ # References
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+ - [Model Paper](https://arxiv.org/abs/2505.07004)