Package data summary

mlx-vlm 0.6.15 package intelligence

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) and Omni Models (VLMs with audio and video support) on your Mac using MLX.

pip install mlx-vlm

Current version
0.6.15
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.2 MiB
Release history
78 releases with files
Median release cadence
7 days

mlx-vlm dependencies

PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. mlx >=0.32.0
  2. transformers >=5.14.0
  3. sentencepiece >=0.2.0
  4. miniaudio >=1.59
  5. tqdm >=4.66.2
  6. Pillow >=10.3.0
  7. requests >=2.31.0
  8. llguidance >=1.7.0
  9. mlx-audio >=0.4.3
  10. opencv-python >=4.12.0.88
  11. fastapi >=0.95.1
  12. python-multipart >=0.0.9

The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlx-vlm publishes 1 wheel and 1 source archive for version 0.6.15. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Security snapshot for mlx-vlm 0.6.15

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 78 releases with files. The first dated release is ; 31 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .