ai/devstral-small-2

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Updated 2 days ago

Devstral Small 2 is an FP8 instruct LLM for agentic SWE tasks, codebase tooling, and SWE-bench.

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ai/devstral-small-2 repository overview

Devstral Small 2

GGUF version by Unsloth

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Description

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.

This model is an Instruct model in FP8, fine-tuned to follow instructions, making it ideal for chat, agentic and instruction based tasks for SWE use cases.

Key Features

The Devstral Small 2 Instruct model offers the following capabilities:

  • 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, making it an appropriate model for local deployment and on-device use.
  • Apache 2.0 License: Open-source license allowing usage and modification for both commercial and non-commercial purposes.
  • Context Window: A 256k context window.

Updates compared to Devstral Small 1.1:

  • Vision Capabilities: Enables the model to analyze images and provide insights based on visual content, in addition to text.
  • Improved Performance: Devstral Small 2 is a step-up compared to its predecessors.
  • Attention Softmax Temperature: Devstral Small 2 uses the same architecture as Ministral 3 using rope-scaling as introduced by Llama 4 and Scalable-Softmax Is Superior for Attention.
  • Better Generalization: Generalises better to diverse prompts and coding environments.

Use Cases

AI Code Assistants, Agentic Coding, and Software Engineering Tasks. Leveraging advanced AI capabilities for complex tool integration and deep codebase understanding in coding environments.

Use this AI model with Docker Model Runner

docker model run devstral-small-2

Tag summary

Content type

Model

Digest

sha256:0e56c1ec9

Size

14.3 GB

Last updated

2 days ago

docker model pull ai/devstral-small-2:24B