Mistral
Magistral Small 2507
レガシー
1.7Kダウンロード104いいねJul 2025公開日131K トークンコンテキストApache 2.0ライセンス96 卓越品質
Magistral Small 2507 (24B parameters) requires approximately 18.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 22 GB of VRAM.
はじめに
— コピー&ペーストでローカル実行Copy-paste commands to run Magistral Small 2507 on your machine.
Run
ollama run magistralQuick 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
- •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
関連モデル
おすすめ
最適なハードウェア
Magistral Small 2507のおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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 | — |
Quality benchmarks
Magistral Small 2507 benchmark scores
Reasoning
MMLU-Pro—
GPQA Diamond68.2%
MATH-50095.9%
ARC Challenge—
General
Chatbot Arena—
IFEval87.4%
Source: official · 2025-07-01
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights14.6 GB
KV Cache2.4 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — Magistral Small 2507
関連項目