Mistral-Small-3.1-24B-Instruct-2503 (GGUF)

This repository provides the “Mistral-Small-3.1-24B-Instruct-2503” model converted into the GGUF format (Q4_K_L or Q4_K_M quantized version) for easy and efficient deployment via Ollama.

The original GGUF image was made available by bartowski on Hugging Face.

Model Features

• Base Model: Mistral-Small-3.1-24B-Instruct (variant 2503)
• Quantization: GGUF Q4_K_L quantization format, significantly reducing resource requirements while preserving high-quality inference.
• Low VRAM Usage: Specifically optimized to run effectively on GPUs with limited VRAM resources of around 16GB.
• Enhanced Reliability: Adjustable sampling temperature to ensure stable and predictable generation results.
• Native Tool Calling Capability: Integrated support for tool calling functionality, enabling the model to seamlessly utilize external instructions and APIs.

Ideal Use Cases

This model is perfectly suited for:

• Local inference on consumer-grade GPUs.
• Integration in projects requiring advanced instructions and command-following tasks.
• Environments where controlled inference quality and predictable responses are essential.
• Leveraging tool calling capabilities for greater interactivity and functionality.

Acknowledgements

Special thanks to Mistral.ai for providing open access to high-quality foundational models, making the existence of derivatives such as this one possible. We also express gratitude to bartowski (on Hugging Face) for the initial GGUF quantization and distribution efforts.