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Devstral 2 123B Instruct

前沿
47.2K下载量327点赞Nov 2025发布日期256K tokens上下文Mistral Research License许可证100 卓越质量

Devstral 2 123B Instruct (123B parameters) requires approximately 81.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 95 GB of VRAM.

快速开始

— 复制粘贴即可本地运行

Copy-paste commands to run Devstral 2 123B Instruct on your machine.

Run

lms load Devstral-2-123B-Instruct-2512 && lms server start

Quick specs

Parameters123B
Architecturedense
Context256K tokens
Modalitytext+vision
Min RAM48 GB
Rec. RAM75 GB (Q4_K_M)
LicenseMistral Research License
FamilyDevstral
Vision Code Reasoning

About this model

Devstral is an agentic LLM for software engineering tasks. Devstral 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
  • Improved Performance: Devstral 2 is a step-up compared to its predecessors
  • Better Generalization: Generalises better to diverse prompts and coding environments
  • Context Window: A 256k context window

你的硬件

检测中...

快速推荐

最佳硬件

Devstral 2 123B Instruct 的最佳选择

运行此模型

量化选项

各量化级别的 VRAM 估算

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
48.0 GB
Low
Q3_K_S
3
60.3 GB
Low
NVFP4
4
68.9 GB
Medium
Q4_K_M
4
75.0 GB
Medium
Q5_K_M
5
88.6 GB
High
Q6_K
6
100.9 GB
High
Q8_0
8
131.6 GB
Very High
F16
16
252.2 GB
Maximum

Quality benchmarks

Devstral 2 123B Instruct benchmark scores

Benchmark verified

Coding

SWE-bench Verified72.2%
HumanEval+
Aider Polyglot
LiveCodeBench

Source: official · 2025-12-18

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights75.0 GB
KV Cache5.4 GB
Runtime0.9 GB
Headroom0.6 GB

常见问题

FAQ — Devstral 2 123B Instruct

另请参阅