Stars
3.9k
GitHub star count
Last Release
N/A
N/A
Contributors
0
N/A
Health Score
N/A
N/A
Key Features
apple silicon
florence2
idefics
llava
llm
Tech Stack
Python
About
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
mlx-vlm is a open-source project built primarily with Python and maintained by Blaizzy. The project is distributed under the MIT license.
Current DevRadar signals show community adoption at 3.9K stars, 420 forks. Freshness signals include last commit 2026-04-05.
Analyst Note
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Best For
- Technical stack evaluation for engineering teams
- Dependency governance and upgrade planning in production systems
- Track delivery cadence and release quality from Blaizzy
- apple silicon
Not Ideal For
- Release cadence may shift with maintainer priorities; plan controlled upgrade windows
Typical Use Cases
Technical stack evaluation for engineering teamsDependency governance and upgrade planning in production systemsTrack delivery cadence and release quality from Blaizzy
Decision Snapshot
- Product type: Open Source
- Primary language: Python
- Pricing model: Free
- License: MIT
Data Basis
- Last Sync: Apr 6, 2026, 12:05 AM
- Metrics Updated: Apr 5, 2026, 12:07 AM
- Completeness: 82%
- Last Verified: Apr 6, 2026, 12:05 AM
Data Status
Stale
Last SyncApr 6, 2026, 12:05 AM
Metrics UpdatedApr 5, 2026, 12:07 AM
Completeness82%
Last VerifiedApr 6, 2026, 12:05 AM
Pros & Cons
Pros
- Strong community adoption.
- Active maintenance cadence.
Cons
- -Release cadence may shift with maintainer priorities; plan controlled upgrade windows
All Metrics
Adoption
4/4Stars3.9k
Forks420
Open Issues77
Contributors0
Health
0/4Health ScorePending
Trend ScorePending
Activity ScorePending
Reliability ScorePending
Core
1/5Latest VersionPending
Last ReleasePending
Last Commit4/5/2026
StatusPending
Activity LevelPending
Security
0/1Security ScorePending
Alternatives
N/A