[!NOTE] You should use jinja to enable the system prompt in llama.cpp Devstral, enhanced with optional Vision support. Learn to run Devstral correctly Read our Guide . Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. ✨ Run & Fine tune Devstral with Unsloth! Fine tune Mistral v0.3 (7B) for free using our Google Colab notebook here Conversational.ipynb)! Read our Blog about Devstral support: docs.unsloth.ai/basics/devstral View the rest of our notebooks in our docs here. Model Card for mistralai/Devstrall Small 2505 Devstral is an agentic LLM for software engineering tasks built under a collaboration between Mistral AI and All Hands AI 🙌. Devstral excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE bench which positionates it as the 1 open source model on this benchmark. It is finetuned from Mistral Small 3.1, therefore it has a long context window of up to 128k tokens. As a coding agent, Devstral is text only and before fine tuning from Mistral Small 3.1 the vision encoder was removed. For enterprises requiring specialized capabilities (increased…
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