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convert-quantize

Blaizzy/mlx-vlmSkill

Use this skill when the user wants to convert a Hugging Face model to MLX or quantize/dequantize one with mlx_vlm.convert, including bits and group size, quant modes (affine, mxfp4, nvfp4, mxfp8), RTN vs AWQ, mixed-bit recipes, dtype casts, calibration (text or multimodal), local vs Hub paths, revisions, uploading to the Hub, and convert/quant errors.

ScannedSkillSource: GitHub
5,640 stars +23 this week Updated 16d ago License MIT Context ≈93 tokens always loaded
79popular

Why this score

Stars20/35
Usage (forks)9/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 8 skills, so its 5,640 stars are split between them (about 705 each) for scoring.

Popularity score: 79/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 9527f2da3b42, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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