Mistral AI - Mixture of experts - verified
Run Mistral Large 3 675B Instruct 2512 locally
Mistral Large 3 675B Instruct 2512 is a 675B mixture-of-experts (41B active) model from Mistral AI with a 262K-token context window, released under Apache 2.0 (commercial use is allowed); the smallest listed download is 407.0 GB, the Q4_K_M GGUF build from unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF.
Official weights: mistralai/Mistral-Large-3-675B-Instruct-2512 - modalities: text, image
- Total params
- 675B
- Active params
- 41B
- Context
- 262K
- Smallest download
- 407.0 GB
Fits in
Smallest download at most 85% of memoryNone of the tiers here. The smallest listed download is 407.0 GB, more than 85% of 256 GB.
Downloads
The official weights and every quantization listed for this model, with file sizes from Hugging Face.
| Download | Format | Size | Repo |
|---|---|---|---|
Official weights | FP8 | 681.5 GB | mistralai/Mistral-Large-3-675B-Instruct-2512 |
Q4_K_MSmallest listed | GGUF | 407.0 GB | unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF |
Q8_0 | GGUF | 715.7 GB | unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF |
GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.
Run it
Copied verbatim from the page linked under each command. Server commands from model cards often assume a multi-GPU node; check the flags before you run them.
vLLM
vllm serve mistralai/Mistral-Large-3-675B-Instruct-2512 \
--max-model-len 262144 --tensor-parallel-size 8 \
--tokenizer_mode mistral --config_format mistral --load_format mistral \
--enable-auto-tool-choice --tool-call-parser mistralSource: huggingface.co/mistralai/Mistral-Large-3-675B-Instruct-2512
Not sure which runtime to use? Compare local LLM runtimes by platform, API and features.
License
- License
- Apache 2.0
apache-2.0 - Commercial use
- Commercial use: YesCommercial use is allowed.
- Gated download
- No. The files download directly.
Worth knowing
The HF API reports no safetensors parameter total for this repo, so the 675B total and 41B active figures come from the model card, and the Ollama entry is cloud only.
Released (per the announcement).
FAQ
How big is the Mistral Large 3 675B Instruct 2512 download?
The official FP8 weights in mistralai/Mistral-Large-3-675B-Instruct-2512 are 681.5 GB. The smallest listed download is 407.0 GB, the Q4_K_M GGUF build from unsloth/Mistral-Large-3-675B-Instruct-2512-GGUF. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.
Can I use Mistral Large 3 675B Instruct 2512 commercially?
Mistral Large 3 675B Instruct 2512 is released under Apache 2.0, and commercial use is allowed. The license text is at https://www.apache.org/licenses/LICENSE-2.0.
How much memory do I need for Mistral Large 3 675B Instruct 2512?
Its smallest listed download is 407.0 GB, more than 85% of 256 GB, so it needs a multi-GPU server or a machine with more memory than the largest tier here.
What is the context length of Mistral Large 3 675B Instruct 2512?
262,144 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.
Sources
Last verified from the pages below.
- Hugging Face model card - huggingface.co
- HF API - huggingface.co
- Mistral 3 announcement - mistral.ai
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