Phi-3-Vision-MLX is an Apple MLX (machine learning on Apple silicon) implementation of Phi-3 Vision, a lightweight multi-modal model designed for vision and language tasks. It focuses on running vision-language AI efficiently on Apple hardware like M1 and M2 chips.

Features

  • Runs multimodal AI models (image and text) natively on Apple Silicon using MLX
  • Optimized for on-device inference on M1, M2, and newer chips
  • Supports vision-language tasks like image captioning and visual question answering
  • Lightweight and efficient for low-resource hardware
  • Open-source and ready for customization and extension

Project Samples

Phi-3-MLX Screenshot 1

Project Activity

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Categories

Large Language Models (LLM), Computer Vision Libraries, AI Models, LLM Inference

License

MIT License

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Phi-3-MLX Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM), Python Computer Vision Libraries, Python AI Models, Python LLM Inference Tool

Registered

2025-03-13
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