Le Chonk is here
Summary
Mistral announces 'Le Chonk' (Mistral Large 4), a massive 1T-parameter model, highlighting llama.cpp support and community-friendly features on Hugging Face.
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@mervenoyann: hey, Le Chonk by @MistralAI is now on Hub! to celebrate, we ship day-0 support in transformers and llama.cpp, as well a…
Mistral Large 4 (codenamed Le Chonk) is released on Hugging Face Hub — a multimodal, multilingual Mixture-of-Experts model with 1T total/49B active parameters and a 1M-token context window, featuring day-0 support in transformers, vLLM, and llama.cpp along with quantized GGUF versions.
Welcome Le Chonk: Mistral Large 4 on Hugging Face
Hugging Face 的博客介绍 Mistral Large 4（代号 Le Chonk），这是 Mistral 推出的多模态、多语言、混合专家（MoE）模型，具备约 1T 总参数（49B 激活参数）和 1M token 上下文窗口，在网络安全、编码代理和多模态任务上表现出色。
Introducing Mistral Large 4: Le chonk
Mistral has released a preview of Mistral Large 4, a 1-trillion-parameter (49B active) model trained on 3,800 NVIDIA Grace Blackwell GPUs, with open weights promised later this month; it scores 38 on Artificial Analysis, a huge leap over Mistral Large 3.
LE CHATON FAT IS REAL
Mistral AI introduces Mistral Large 4 (Le Chonk), a natively multimodal 1T-parameter model with 49B active parameters, claiming best-in-class open weights performance from the US or Europe, state-of-the-art results on critical workloads like cyber defense and finance, and end-to-end European sovereignty, available via API with open weights releasing end of October.
@ClementDelangue: Le fat chaton! https://huggingface.co/mistralai/Mistral-Large-4.0-1T05-A52B…
Clement Delangue teases the upcoming Mistral Large 4 ("Le Chonk"), a 1-trillion-parameter natively multimodal model with 49B active parameters per token (52B including embeddings/output layers), with open weights expected on Hugging Face at the end of the month.