# Apple Chip Optimization

InternVL3-8B-6bit is a vision-language model converted to MLX format, supporting multilingual image-text-to-text tasks.

This is a multimodal model based on Qwen2.5-VL-7B-Instruct, supporting visual question answering tasks, converted to MLX format for efficient operation on Apple chips.

This is a video-text-to-text model converted based on the MLX framework, suitable for video understanding and instruction-following tasks.

This is a video-text-to-text model based on the MLX format, developed by HuggingFaceTB, supporting English language processing.

This is an 8-bit quantized version of the Qwen2.5-VL-3B-Instruct model, optimized for the MLX framework and supports image-text generation tasks.

WhisperKit is a local speech recognition framework specifically designed for Apple chips, offering efficient automatic speech recognition capabilities.

A latent diffusion-based text-to-image generation model capable of producing realistic images from text inputs, suitable for artistic creation and research purposes.