Unsloth AI on X: "Mistral releases Devstral 2507, the best open-source model for coding agents! 🔥 The 24B model is now the #1 open LLM on SWE-Bench Verified scoring 52.4% Run Devstral-Small-2507 locally on 32GB RAM with our Dynamic quants & fine-tune with Unsloth GGUFs: https://t.co/iXh25xvjon http
Quick Answer
Mistral has launched Devstral 2507, the leading open-source model for coding agents, achieving a top score of 52.4% on the SWE-Bench benchmark.
Quick Take
This 24B parameter model can be run locally on 32GB RAM using Dynamic quantization and can be fine-tuned with Unsloth GGUFs.
Key Points
- Devstral 2507 is the #1 open on with 52.4% score.
- The model features 24 billion parameters, optimized for coding tasks.
- Users can run it locally on systems with 32GB RAM.
- Dynamic quantization enhances performance for local execution.
- Fine-tuning is possible using Unsloth's GGUFs.
Article Excerpt
From source RSS / original summaryMistral releases Devstral 2507, the best open-source model for coding agents!
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