mlx-vlm and vllm-fit

mlx-vlm
81
Verified
vllm-fit
25
Experimental
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 4/25
Maturity 11/25
Community 0/25
Stars: 2,287
Forks: 293
Downloads:
Commits (30d): 44
Language: Python
License: MIT
Stars: 6
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

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.

multimedia-analysis content-understanding image-description audio-analysis document-processing

About vllm-fit

jranaraki/vllm-fit

A CLI tool designed to simply recommend (conservative), and/or profile (to maximize resource utilization) vLLM engine arguments for any HuggingFace model on the user's current hardware.

Scores updated daily from GitHub, PyPI, and npm data. How scores work