Philipp Schmid • 4/2/2024

Accelerate Mixtral 8x7B with Speculative Decoding and Quantization on Amazon SageMaker

This detailed tutorial explains how to deploy and accelerate the Mixtral-8x7B-Instruct-v0.1 model on Amazon SageMaker. It covers the use of speculative decoding via Medusa to predict multiple tokens and Activation-aware Weight Quantization (AWQ) to reduce memory footprint. The guide walks through setting up the environment, preparing artifacts with the Hugging Face LLM DLC, deploying to a g5.12xlarge instance, and achieving improved inference latency.

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#Quantization #LLM Inference #Amazon Sagemaker