32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Magistral Small 24B at Q4 natively
- 32 GB VRAM — adequate headroom
CPU-capable model ready
Magistral Small 24B
21 consumer GPUs can run Magistral Small 24B at Q4 natively. Precise VRAM thresholds and benchmarks below.
21 Compatible GPUs
18 with offloading
24B params
128K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 128K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Mistral AI
LICENSE Apache 2.0
Hardware Decision
This model requires aMid-range GPU (16 GB VRAM)
Compatible GPUs for Magistral Small 24B
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Magistral Small 24B at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Magistral Small 24B at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
CPU vs GPU for Magistral Small 24B →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 13.2 GB Mid-range GPU
System RAM 24 GB
32 GB recommended
Storage 12 GB Q4 · SSD recommended
CPU i7 → 5 tok/s Runs without GPU
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 52.8 GB | 48 GB | Maximum |
| Q8 (high quality) | 26.4 GB | 24 GB | Near-lossless |
| Q4 (recommended) Best balance | 13.2 GB | 12 GB | Recommended |
| Q2 (minimum) | 6.6 GB | 6 GB | Quality loss |
Model Details
| Developer | Mistral AI |
| Parameters | 24B |
| Context window | 128,000 tokens |
| License | Apache 2.0 |
| Use cases | chat, reasoning, analysis |
| Released | 2025-06 |
Install with Ollama
ollama run magistral:24b Hugging Face
mistralai/Magistral-Small-2506 Technical Requirements
Can your GPU run Magistral Small 24B?
Magistral Small 24B requires <strong class="text-primary-container">13.2 GB VRAM</strong> at Q4. 21 consumer GPUs meet this threshold. Below 8 GB or 11.2 GB you'll hit significant offload latency.
6.6GB Critical min
13.2GB Optimal Q4
26.4GB High Quality Q8
52.8GB Max FP16
Hardware Performance Matrix
21 Q4 native · 18 offload
Recommended GPUs for Magistral Small 24B
Benchmarks reais
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Escolha editorial
Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Magistral Small 24B — Compatibility guide
Magistral Small 24B can run on CPU without a dedicated GPU — unusual for a 24B model. On an i7-13700K with llama.cpp Q4 it reaches 5 tok/s (slow but usable). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.
Compare GPUs for Magistral Small 24B
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Magistral Small 24B at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
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Not sure which GPU you need for Magistral Small 24B?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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