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Mistral-Large-4-1T-A52B-NVFP4-GGUF

image text to text model by ggml-org on Hugging Face. 1,179 downloads in the last 30 days as of 2026-10-15.

Mistral-Large-4-1T-A52B-NVFP4-GGUF logo
AI APIs & LLMsFreeAI modelLink verified 2026-11-01

What is Mistral-Large-4-1T-A52B-NVFP4-GGUF?

Mistral-Large-4-1T-A52B-NVFP4-GGUF is an open AI model published on Hugging Face by ggml-org for vision-language (image + text to text). Its name indicates it belongs to the Mistral model family, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). Hugging Face reported 1,179 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.

Mistral-Large-4-1T-A52B-NVFP4-GGUF key facts
Publisherggml-org
Taskvision-language (image + text to text)
Model family (from name)Mistral
FormatGGUF
Downloads (30 days)1,179 (as of 2026-10-15)
PriceFree to download (open weights)

Mistral-Large-4-1T-A52B-NVFP4-GGUF pricing

Listed as Free. Detailed prices haven't been checked from the official site yet; see Mistral-Large-4-1T-A52B-NVFP4-GGUF.

How to run Mistral-Large-4-1T-A52B-NVFP4-GGUF

  1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory).
  2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-NVFP4-GGUF`).
  3. Read the model card for the prompt template, context length and licence.

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Mistral-Large-4-1T-A52B-NVFP4-GGUF FAQ

What is Mistral-Large-4-1T-A52B-NVFP4-GGUF?

Mistral-Large-4-1T-A52B-NVFP4-GGUF is an open AI model published on Hugging Face by ggml-org for vision-language (image + text to text). Its name indicates it belongs to the Mistral model family, packaged as quantised GGUF weights for llama.

Is Mistral-Large-4-1T-A52B-NVFP4-GGUF free?

Mistral-Large-4-1T-A52B-NVFP4-GGUF is listed as free.

How do I use Mistral-Large-4-1T-A52B-NVFP4-GGUF?

1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-NVFP4-GGUF`). 3. Read the model card for the prompt template, context length and licence.

What models are similar to Mistral-Large-4-1T-A52B-NVFP4-GGUF?

Related models include Mistral-7B-Instruct-v0.3, Mistral-7B-Instruct-v0.2, e5-mistral-7b-instruct-bnb-4bit, mistral-7b-v0.3-bnb-4bit, Mistral-7B-v0.1.

This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.