Mistral Family — Local AI Model by Mistral AI

作者： Jakub Rusinowski · 最后更新： 2026年7月10日

The European champion of open AI. Known for efficiency and the 'Nemo' collaborative model with NVIDIA. Mistral models are production-ready workhorses.

Hardware Requirements

Mistral Small 3 (24B)Min 15 GB VRAM · Q4_K_M · 32,000 ctx · ollama run mistral-small
Mistral NeMo 12BMin 8 GB VRAM · Q4_K_M · 128,000 ctx · ollama run mistral-nemo

Recommended GPU

The cheapest GPU that runs Mistral Family locally (min 8 GB VRAM) is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
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How to Run Locally

Install Ollama then run: ollama run mistral-small

Minimum VRAM: 8 GB. For best results use Q4_K_M quantization.

Download Mistral Family — GGUF Quantizations

Pick a quantization and open it in LM Studio, Ollama, or Jan, or download the raw .gguf file directly. Quant list and sizes resolved from Hugging Face.

Mistral NeMo 12B — GGUF quants · bartowski/Mistral-Nemo-Instruct-2407-GGUF

QuantSizeDownload (.gguf)
Q3_K_M5.12 GB (est.)Mistral-Nemo-Instruct-2407-Q3_K_M.gguf
Q4_K_M7.25 GB (est.)Mistral-Nemo-Instruct-2407-Q4_K_M.gguf
Q5_K_M8.51 GB (est.)Mistral-Nemo-Instruct-2407-Q5_K_M.gguf
Q6_K9.84 GB (est.)Mistral-Nemo-Instruct-2407-Q6_K.gguf
Q8_012.75 GB (est.)Mistral-Nemo-Instruct-2407-Q8_0.gguf

Download in LM Studio: lms get bartowski/Mistral-Nemo-Instruct-2407-GGUF

Want this model on your phone? You can run it on your desktop with LM Studio and chat from your iPhone or iPad over an encrypted link — see Run LM Studio Models on Your Phone (LM Link).

Mistral Family — Frequently Asked Questions

How much VRAM does Mistral Family need?

Mistral Family needs about 8 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Mistral Small 3 (24B) (15 GB, Q4_K_M); Mistral NeMo 12B (8 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Mistral Family on an RTX 4090 (24 GB)?

Yes — Mistral Family runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Mistral Family?

Q4_K_M is the best balance of quality and VRAM for Mistral Family in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Mistral Family with Ollama?

Install Ollama, then run: ollama run mistral-small. This downloads Mistral Family and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Mistral Family on My GPU?