Model Overview

The ailexleon/Cydonia-24B-v4.3-mlx-fp16 is a 24 billion parameter language model, specifically converted for use with Apple's MLX framework. This model is a direct conversion of the TheDrummer/Cydonia-24B-v4.3 model, ensuring compatibility and optimized performance on Apple silicon.

Key Features

• MLX Compatibility: Optimized for efficient inference on devices with Apple silicon, utilizing the mlx-lm library.
• Parameter Count: Features 24 billion parameters, providing a robust foundation for complex language understanding and generation tasks.
• Direct Conversion: Faithfully represents the capabilities of the original TheDrummer/Cydonia-24B-v4.3 model.

Usage

This model is intended for developers and researchers looking to leverage the Cydonia-24B-v4.3 model within the MLX ecosystem. It can be easily loaded and used for text generation with the mlx_lm library, as demonstrated in the provided Python code snippet. The conversion was performed using mlx-lm version 0.28.3.

Good For

• Local inference on Apple silicon hardware.
• Experimentation with large language models in an MLX environment.
• Applications requiring a 24B parameter model with optimized performance on macOS.