See our Ministral 3 collection for all versions including GGUF, 4 bit & FP8 formats. Learn to run Ministral correctly Read our Guide . See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks. ✨ Read our Ministral 3 Guide here ! Fine tune Ministral 3 for free using our Google Colab notebook Or train Ministral 3 with reinforcement learning (GSPO) with our free notebook. View the rest of our notebooks in our docs here. Ministral 3 8B Reasoning 2512 A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities. This model is the reasoning post trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 8B can even be deployed locally, capable of fitting in 24GB of VRAM in BF16, and less than 12GB of RAM/VRAM when quantized. Key Features Ministral 3 8B consists of two main architectural components: 8.4B Language Model 0.4B Vision Encoder The Ministral 3 8B Reasoning model offers the following capabilities: Vision : Enables the model to analyze images and…
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