mlx-vlm and mlx-flash
The `mlx-flash` project provides performance optimizations that could potentially be integrated into or used by `mlx-vlm` to accelerate its Vision Language Model inference and fine-tuning on Apple Silicon, making them complements.
About mlx-vlm
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
This project helps you understand images, audio, and video content by describing or answering questions about them. You provide a visual, audio, or multi-modal input and a question or prompt, and the tool generates a textual response. It's designed for anyone working with multimedia content on a Mac who needs to extract information or generate descriptions.
About mlx-flash
matt-k-wong/mlx-flash
Lightning-fast MLX utilities and optimizations for Apple Silicon
This project enables you to run very large AI models, like those with tens or hundreds of billions of parameters, directly on your Apple Mac, even if it has limited memory. It takes an existing large language model and efficiently streams its components from your Mac's fast storage, allowing you to get immediate text generation or analysis without needing to shrink or alter the model. This is ideal for AI practitioners, researchers, or developers who want to experiment with or deploy large models locally on their Apple Silicon machines.
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