[!NOTE] Now with Vision support added! See our collection for all versions of Mistral 3.1 including GGUF, 4 bit & 16 bit formats. Learn to run Fine tune correctly Read our Guide . Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. ✨ Run & Fine tune Mistral 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 Mistral Small 3.1 24B Instruct 2503 Building upon Mistral Small 3 (2501), Mistral Small 3.1 (2503) adds state of the art vision understanding and enhances long context capabilities up to 128k tokens without compromising text performance. With 24 billion parameters, this model achieves top tier capabilities in both text and vision tasks. This model is an instruction finetuned version of: Mistral Small 3.1 24B Base 2503. Mistral Small 3.1 can be deployed locally and is exceptionally "knowledge dense," fitting within a single RTX 4090 or a 32GB RAM MacBook once quantized. It is ideal for: Fast response conversational agents. Low latency function calling. Subje…
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