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- **KV cache quantization:** OCP FP8
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- **Calibration Dataset:** [Pile](https://huggingface.co/datasets/mit-han-lab/pile-val-backup)
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The model is the quantized version of the Meta-Llama
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# Model Quantization
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- **KV cache quantization:** OCP FP8
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- **Calibration Dataset:** [Pile](https://huggingface.co/datasets/mit-han-lab/pile-val-backup)
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The model is the quantized version of the [Meta-Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check [here](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct). The MXFP4 model is quantized with [AMD-Quark](https://quark.docs.amd.com/latest/index.html).
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# Model Quantization
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