Hugging Face Overview
Model Overview
The magistral-small model, developed by mistral-ai, is a 24 billion parameter language model. This particular version is an MLX quantization of the original bfloat16 magistral-small model, specifically optimized for efficient execution on Apple Silicon.
Key Characteristics
- Creator: mistral-ai
- Original Model:
magistral-small(bfloat16 version) - Quantization: MLX, provided by the LM Studio team using
mlx_lm. - Hardware Optimization: Designed for Apple Silicon, leveraging the MLX framework developed by the Apple Machine Learning Research team.
Use Cases
This model is particularly well-suited for developers and researchers who:
- Require a powerful 24 billion parameter language model.
- Are working within the Apple ecosystem and need models optimized for Apple Silicon.
- Seek efficient local inference capabilities on their Apple hardware, benefiting from the MLX framework's performance advantages.