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 3B Instruct 2512 The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny 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 3B can even be deployed locally, capable of fitting in 8GB of VRAM in FP8, and less if further quantized. Key Features Ministral 3 3B consists of two main architectural components: 3.4B Language Model 0.4B Vision Encoder The Ministral 3 3B Instruct model offers the following capabilities: Vision : Enables the model to analyze images and provide insights based on visual content, in addition to text. Multilingual : Supports dozens of languages, including English, French, Spanish, German, Italia…
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