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mlx-vlm

mlx-vlm — MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on…

mlx-vlm is MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX. - Blaizzy/mlx-vlm. It is ranked #1890 on the Dev Radar, in AI dev tools, first seen 14 days ago and shared in 1 post (1.7k views).

Visit github.com

GitHub - Blaizzy/mlx-vlm: MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Blaizzy / mlx-vlm Public Uh oh! There was an error while loading. Please reload this page . Notifications You must be signed in to change…

What people said about mlx-vlm on X

Apodex 1.1 is now in MLX-VLM v0.7.0rc0! Apple Silicon users can install the pre-release and run Apodex-1.1-mini-NVFP4 locally, including MTP speculative decoding. Credit to Lazarus-931 for implementing the checkpoint support. @Prince_Canuma and the MLX-VLM team have now shipped it in an installable pre-release.…

@Apodex_AI, 14 days ago · 19 likes · see the post

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FAQ

What is mlx-vlm?

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX. - Blaizzy/mlx-vlm It was first shared on X 14 days ago and is ranked #1890 on the Dev Radar.

Is mlx-vlm free?

It is open source.

Who shared mlx-vlm?

1 account on X, including @Apodex_AI, in 1 post totalling 1.7k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 20.7k posts from 4.9k X accounts over the last 21 days, 2.4k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-22 09:16 UTC. Full method.