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- ## Mixtral-8x22B-Instruct-v0.1-FP8-v1
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  * Weights and activations are per-tensor quantized to float8_e4m3.
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- * Quantization with AutoFP8.
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  * Calibration dataset: Ultrachat (mgoin/ultrachat_2k)
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  * Samples: 2048
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  * Sequence length: 8192
 
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+ ## Mixtral-8x22B-Instruct-v0.1-FP8-v2
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  * Weights and activations are per-tensor quantized to float8_e4m3.
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+ * Quantization with AutoFP8 with updated activation scaling factor names.
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  * Calibration dataset: Ultrachat (mgoin/ultrachat_2k)
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  * Samples: 2048
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  * Sequence length: 8192