mistralai/Mistral-Large-4-1T-A52B · Hugging Face

huggingface.co/ggml-org/Mistral-Large-4-1T-A52B-GGUF huggingface.co/ggml-org/Mistral-Large-4-1T-A52B-NVFP4-GGUF huggingface.co/unsloth/Mistral-Large-4-1T-A52B-GGUF from Mistral: Mistral Large 4 - Le Chonk Mistral Large 4 is our largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union. Find more information on our blog . The model is also served on the Mistral API as mistral-large-4 . Key Features Mistral Large 4 includes the following architectural choices: ~1T total / ~52B active parameters : granular Mixture-of-Experts with 128 routed experts (4 active per token) and 1 shared expert. 1M context length , for long-context workloads. Multimodal input : accepts text and image input, with text output. Pixtral-style vision encoder trained to handle variable image sizes and aspect ratios. Instruct and Reasoning functionalities with function calls, reasoning effort configurable per request. Mistral Large 4 offers the following capabilities: Reasoning Mode : three reasoning efforts — low , medium , high (default) — so the same model can answer a quick chat reply or work through a complex agentic run. Vision : analyzes images, charts, technical drawings, and documents, with state-of-the-art visual grounding among open weights. Multilingual : natively fluent in 160+ languages, including all official languages of the European Union. System Prompt : strong adherence and support for system prompts. Agentic : native function calling, JSON output, and strict JSON schema enforcement. Cybersecurity : state of the art among open-weight models for security work, while refusing malicious requests. Large Context Window : supports a 1M context window. We release this model under the Mistral Ecosystem Open-Weight License : a modified version of the MIT license, for both commercial and non-commercial use — operating a Model-as-a-Service business requires a separate commercial license with Mistral. llama.cpp suport merged: github.com/ggml-org/llama.cpp/pull/31376