vllm-mlx

by waybarrios

OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.

โ˜… 412 stars48 forksActivePython
73
Good

๐Ÿ“Š Score Breakdown

๐Ÿ›ก๏ธSecurity30%
3.0/5
โšกUtility30%
3.0/5
๐Ÿ”„Maintenance25%
5.0/5
๐Ÿ’ŽUniqueness15%
4.0/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology โ†’

โ„น๏ธ Details

Ecosystem

Claude Skill

Language

Python

Pricing

Free

License

-

Status

Active

๐Ÿ“ˆ GitHub Signals

412

Stars

48

Forks

0

Commits (30d)

29

Open Issues

Last commit: 5 months ago

anthropicapple-siliconaudio-processingclaude-codecomputer-visionimage-understandinginferencellmmachine-learningmacosmllmmlxmultimodal-aispeech-to-textstttext-to-speechttsvideo-understandingvision-language-modelvllm

๐Ÿ… Show your score

Scored 73/100 for security, utility and maintenance. Add the badge to your README or site to show it, verified by an independent directory.

vllm-mlx scored 73/100 on SkillsIndex
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