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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Magistral Small 2507

MistralMistral

Magistral Small 2507

Legacy
huggingfaceHuggingFaceollamaOllama
2.7KDownloads104LikesJul 2025Released131K tokensContextApache 2.0License4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run magistral-small-2507
HuggingFace
huggingface-cli download magistral-small-2507

Quick specs

Parameters24B
Architecturedense
Context131K tokens
Modalitytext
Min RAM9.4 GB
Rec. RAM14.6 GB (Q4_K_M)
LicenseApache 2.0
FamilyMagistral
✓ Chat✓ Reasoning

About this model

Building upon Mistral Small 3.1 (2503), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.

  • •Reasoning:: Capable of long chains of reasoning traces before providing an answer
  • •Multilingual:: Supports dozens of languages, including English, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Korean, Malay,...
  • •Apache 2.0 License:: Open license allowing usage and modification for both commercial and non-commercial purposes
  • •Context Window:: A 128k context window, but performance might degrade past 40k. Hence we recommend setting the maximum model length to 40k

Related models

Your hardware

Detecting...

Quick picks

AMD
Best budgetC
RX 7900 XTX 24GB~$999 — 47 tok/s
NVIDIA
Best overallB
RTX 5090 32GB~$1,999 — 82 tok/s

Best hardware

Top picks for Magistral Small 2507

NVIDIA
RTX 5090 32GBB
32 GB
AMD
AMD Instinct MI100 32GBB
32 GB
NVIDIA
RTX PRO 4500 Blackwell 32GBB
32 GB
NVIDIA
NVIDIA A100 40GBC
40 GB
NVIDIA
NVIDIA V100 32GBC
32 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
Low—
Q3_K_S
3
11.8 GB
Low—
NVFP4
4
13.4 GB
Medium—
Q4_K_M
4
14.6 GB
Medium—
Q5_K_M
5
17.3 GB
High—
Q6_K
6
19.7 GB
High—
Q8_0
8
25.7 GB
Very High—
F16
16
49.2 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights14.6 GB
KV Cache3.8 GB
Runtime0.9 GB
Headroom2.4 GB