Mistral Small 4 Just Dropped — Run It on Affordable H200s with Vast.ai

Mistral Small 4, the latest model from Mistral AI, consolidates capabilities for instruction, reasoning, and coding into a single, efficient framework. This 119-billion-parameter mixture-of-experts model activates just 6.5 billion parameters per token, offering significant improvements in latency and throughput over its predecessor, Mistral Small 3. With a Pixtral vision encoder, a 256K-token context window, and the ability to toggle between fast responses and detailed reasoning, the model is designed to handle diverse tasks, including vision and complex analysis. Deployed on affordable hardware like 2x H200 GPUs via Vast.ai, it offers flexibility in deployment without the need for quantization, and its weights are stored in FP8 format under an Apache 2.0 license. The guide details the process of setting up and deploying Mistral Small 4, emphasizing its efficient resource use and broad application potential.

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