Mistral AI24B~15 GB VRAM at Q4_K_M

Mistral Small 3 (24B) — VRAM, speed & local setup

Written by Jakub Rusinowski · Last updated

The new standard for 24GB GPUs. Highly efficient and dense.

Mistral Small 3 (24B) needs about 15 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

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VRAM and speed by quantization

Quoted against NVIDIA RTX 4090 (24 GB). Includes the KV cache at 8K context, so it reads higher than the headline figure.

QuantVRAMSpeed (est.)Fit
Q2_K
2.63 bpw
10.6 GB~72 tok/sFits
Q3_K_M
3.41 bpw
12.9 GB~59 tok/sFits
Q4_K_M
4.83 bpw
17.2 GB~44 tok/sFits
Q5_K_M
5.67 bpw
19.7 GB~38 tok/sFits
Q6_K
6.56 bpw
22.4 GB~34 tok/sTight
Q8_0
8.50 bpw
28.2 GB~4 tok/sOffload
F16
16.00 bpw
50.7 GB~2 tok/sOffload

Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Mistral Small 3 (24B) VRAM calculator →

Get Mistral Small 3 (24B) running

The cheapest catalogued GPU that runs Mistral Small 3 (24B) is the AMD Radeon RX 7900 XT (20 GB).

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AMD Radeon RX 7900 XT 20GB
20 GB VRAM · 315 W board power
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How to run Mistral Small 3 (24B)

Install Ollama, then run:

ollama run mistral-small

Specifications

Curated — A hand-written entry from before this catalogue recorded its sources. The figures are long-standing but their provenance is not on file.

Parameters
24 Billion
Context window
32,000
Architecture
Dense
Provider
Mistral AI
Licence
Mistral Research
Practical deployment
Single consumer GPU
Specified at
Q4_K_M
System RAM
32 GB
Record updated
2025-01-28
LicenceApache-2.0Commercial use permitted

Commercial use permitted. No usage restrictions beyond attribution.

Quality and use cases

Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.

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Can I run Mistral Small 3 (24B) on my GPU?

Other Mistral Family sizes

Mistral Small 3 (24B) — frequently asked questions

How much VRAM does Mistral Small 3 (24B) need?

About 15 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Mistral Small 3 (24B) run on an RTX 4090 (24 GB)?

Yes. Mistral Small 3 (24B) needs about 15 GB at Q4_K_M, inside a 24 GB card, at an estimated 44 tokens/sec.

How do I run Mistral Small 3 (24B) locally?

Install Ollama and run `ollama run mistral-small`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

What other sizes does Mistral Family come in?

Mistral Small 3 (24B) (15 GB), Mistral NeMo 12B (8 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.