🎉 Le Chonk, meet vLLM.
Day-0 support for @MistralAI's Mistral Large 4: a trillion-parameter multimodal MoE with 1M context for advanced coding, reasoning and cybersecurity-related tasks.
FP8 and NVFP4 checkpoints, with a built-in DSpark drafter.
vLLM adds day-0 support for Mistral Large 4 with 1M context
AIvLLM says it offers day-0 support for Mistral Large 4, a trillion-parameter multimodal mixture-of-experts model with a 1M-token context window. The model targets coding, reasoning and cybersecurity tasks and ships FP8 and NVFP4 checkpoints with a built-in DSpark drafter.
@vllm_project
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:
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