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Mistral Large 4 opens weights on Hugging Face, with vLLM day-0 support and a 1-bit GGUF build

4 reports3 sourcesupdated 49 minutes ago

What happened

AI digest

On Oct 29, reports said Mistral Large 4 (Le Chonk) landed on Hugging Face with open weights: a multimodal, multilingual MoE taking text and image input and returning text, about 1 trillion total parameters and a 1M-token context, in FP8 and NVFP4 builds, under a license that restricts model-as-a-service use. vLLM announced day-0 support covering image input, DSpark speculative decoding, long-context deployment, AMD MI350 GPUs and TPU v7x. Mistral AI said the improved open weights raise coding, defensive cybersecurity and inference efficiency, without benchmark numbers. Unsloth released a Dynamic 1-bit GGUF that reportedly runs locally on a Mac Studio and keeps 91% top-1 accuracy. Active parameters differ between reports: 49B earlier, 52B later.

Written by AI from the coverage · updated 46 minutes ago

Developments

3 developments

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Oct 29
  1. AI HOT · Products
    vLLM 发布 Mistral Large 4 Day 0 支持

    vLLM 发布 Mistral Large 4 的 Day 0 支持,覆盖图像输入、DSpark 推测解码及长上下文部署,并支持 AMD Instinct MI350 Series GPU 和 TPU v7x。

  2. AI HOT · ModelsPick
    Mistral Large 4 (Le Chonk) lands on Hugging Face with open weights for a ~1T-parameter multimodal model

    Mistral Large 4 (Le Chonk) is now on Hugging Face with open weights. It uses a multimodal, multilingual MoE architecture with text and image input and text output. The model has about 1T total parameters, 49B active parameters and a 1M-token context window, ships in official FP8 and NVFP4 versions, and its license restricts model-as-a-service businesses.

  3. AI HOT · Products
    Unsloth 发布 Mistral Le Chonk 1-bit GGUF 量化版,1T 参数模型可本地运行

    Unsloth 为 Mistral Le Chonk(Mistral Large 4,1T 参数 MoE、52B 激活)发布 Dynamic 1-bit GGUF 量化版,可在 Mac Studio 本地运行,保留 91% top-1 准确率。

  4. Mistral AIPick
    Mistral releases open weights for Mistral Large 4 (Le Chonk), a 1-trillion-parameter multimodal model

    Mistral AI released the open weights of an improved Mistral Large 4 (Le Chonk). The 1-trillion-parameter native multimodal model improves coding, defensive cybersecurity and reasoning efficiency. Self-hosting and customization are allowed, but companies running model-as-a-service need a separate commercial license.

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