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 14B Reasoning 2512 The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient 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 14B can even be deployed locally, capable of fitting in 32GB of VRAM in BF16, and less than 24GB of RAM/VRAM when quantized. Key Features Ministral 3 14B consists of two main architectural components: 13.5B Language Model 0.4B Vision Encoder The Ministral…
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