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 Instruct 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. 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 24GB of VRAM in FP8, and less if further quantized. Key Features Ministral 3 14B consists of two main architectural components: 13.5B Language Model 0.4B Vision Encoder The Ministral 3 14B Instruct model offers the following capabilities: Vision : Enables the model to analyze images and provide insights based on visual content, in additio…
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