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---
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library_name: vllm
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language:
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- en
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- fr
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- es
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- de
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- it
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- pt
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- nl
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- zh
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- ja
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- ko
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- ar
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license: apache-2.0
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inference: false
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base_model:
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- mistralai/Ministral-3-3B-Reasoning-2512
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extra_gated_description: >-
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If you want to learn more about how we process your personal data, please read
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our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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tags:
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- mistral-common
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---
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# Ministral 3 3B Reasoning 2512 GGUF
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The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities.
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This model includes different quantization levels of the reasoning post-trained version in **GGUF**, trained for reasoning tasks, making it ideal for math, coding and stem related use cases.
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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, fitting in 16GB of VRAM in BF16, and less than 8GB of RAM/VRAM when quantized.
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## Key Features
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Ministral 3 3B consists of two main architectural components:
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- **3.4B Language Model**
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- **0.4B Vision Encoder**
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The Ministral 3 3B Reasoning model offers the following capabilities:
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- **Vision**: Enables the model to analyze images and provide insights based on visual content, in addition to text.
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- **Multilingual**: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic.
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- **System Prompt**: Maintains strong adherence and support for system prompts.
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- **Agentic**: Offers best-in-class agentic capabilities with native function calling and JSON outputting.
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- **Reasoning**: Excels at complex, multi-step reasoning and dynamic problem-solving.
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- **Edge-Optimized**: Delivers best-in-class performance at a small scale, deployable anywhere.
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- **Apache 2.0 License**: Open-source license allowing usage and modification for both commercial and non-commercial purposes.
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- **Large Context Window**: Supports a 256k context window.
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## Usage
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## License
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This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt).
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*You must not use this model in a manner that infringes, misappropriates, or otherwise violates any third party’s rights, including intellectual property rights.*
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