Mistral Family — Local AI Model by Mistral AI

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

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 12B	Min 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).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Intel Arc B570 10GB

Sugerowana cena premierowa: $219

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

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

Quant	Size	Download (.gguf)
Q3_K_M	5.12 GB (est.)	Mistral-Nemo-Instruct-2407-Q3_K_M.gguf
Q4_K_M	7.25 GB (est.)	Mistral-Nemo-Instruct-2407-Q4_K_M.gguf
Q5_K_M	8.51 GB (est.)	Mistral-Nemo-Instruct-2407-Q5_K_M.gguf
Q6_K	9.84 GB (est.)	Mistral-Nemo-Instruct-2407-Q6_K.gguf
Q8_0	12.75 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.