willitrun·ai

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Devstral Small 2 24B Instruct

最先端
huggingfaceHuggingFaceollamaOllama
373.1Kダウンロード630いいねNov 2025公開日256K トークンコンテキストMistral Research Licenseライセンス96 卓越品質

Devstral Small 2 24B Instruct (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 Devstral Small 2 24B Instruct on your machine.

Run

ollama run devstral-small-2

Quick specs

Parameters24B
Architecturedense
Context256K tokens
Modalitytext
Min RAM9.4 GB
Rec. RAM14.6 GB (Q4_K_M)
LicenseMistral Research License
FamilyDevstral Small
✓ Code✓ Reasoning

About this model

Devstral is an agentic LLM for software engineering tasks. Devstral Small 2 excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench.

  • •Agentic Coding: Devstral is designed to excel at agentic coding tasks, making it a great choice for software engineering agents
  • •Lightweight: with its compact size of just 24 billion parameters, Devstral is light enough to run on a single RTX 4090 or a Mac with 32GB RAM,...
  • •Apache 2.0 License: Open-source license allowing usage and modification for both commercial and non-commercial purposes
  • •Context Window: A 256k context window
  • •Vision Capabilities: Enables the model to analyze images and provide insights based on visual content, in addition to text

関連モデル

あなたのハードウェア

検出中...

おすすめ

Intel
コスパ最良S
Intel Arc Pro B60 24GB~$599 — 18 tok/s
NVIDIA
総合最良S
RTX 5090 32GB~$1,999 — 88 tok/s

最適なハードウェア

Devstral Small 2 24B Instructのおすすめ

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

このモデルを実行

Devstral Small 2 24B Instruct on RTX 5090 32GBDevstral Small 2 24B Instruct on RTX PRO 4500 Blackwell 32GBDevstral Small 2 24B Instruct on AMD Instinct MI100 32GB

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

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—

Quality benchmarks

Devstral Small 2 24B Instruct benchmark scores

Benchmark verified

Coding

SWE-bench Verified68.0%
HumanEval+—
Aider Polyglot—
LiveCodeBench—

Source: official · 2025-12-15

ハードウェア互換性

全ハードウェアの適合度推定

カリキュレーターを開く

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 — Devstral Small 2 24B Instruct

関連項目

量子化ガイドスコアリングメソドロジーカリキュレーターを開く