MLC LLM
Universal LLM Deployment Engine with ML Compilation
At a glance
Is this tool relevant to you?
What it does
Universal LLM Deployment Engine with ML Compilation
May suit
People who need to run, serve, or optimize AI models.
Before you try it
The repository reports a Apache-2.0 license. Setup difficulty and device support still need to be checked upstream.
Evidence & freshness
What we know, and how recently we checked
This record comes from the wider automated directory. It has not yet passed the stronger catalog verification checks.
- Source
- Automated project sync
- Checked
- Snapshot evidence level
- Limited confidence
- Maintenance signal
- Healthy62/100
Generally healthy automated signals, with some areas worth checking in the breakdown.
The health score is an automated maintenance signal, not a security audit or a guarantee that the tool fits your needs.
How verification and health scoring work
Catalog-verified records use a timestamped GitHub snapshot that passed source and completeness checks. Basic listings come from the wider automated sync and have not yet passed that stronger verification path.
Health combines recent activity, commit frequency, issue handling, contributor depth, release cadence, documentation, and community signals. Missing evidence lowers how much confidence you should place in the number.
Read the full methodology →⭐
22.6K
Stars
🍴
2.0K
Forks
👥
164
Contributors
💚
Healthy62/100
Health Score
Star History
Health Score Breakdown
Star Momentum
52
Commit Frequency
18
Issue Health
80
Contributors
100
Release Cadence
10
Documentation
100
Community Signal
100
Project Info
- Language
- Python
- License
- Apache-2.0
- Last Commit
- 2026-05-11 22:52 UTC
- Last Release
- N/A
- Open Issues
- 310
- Bus Factor
- 10
- Commits/Week
- 3.6
- Avg Issue Close
- 5.1 days
language-modelllmmachine-learning-compilationtvm
Project Badge
Embed a live health badge in a README or docs page.
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