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[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

frameworkPythonApache-2.0
GitHubCompare
Refreshed 3h ago
OverviewActivity52wAlternativesDocs
Stars969
Forks56
HF Downloads—30d
Last commit1mo ago
Refreshed3h ago
Project healthSlowingLast commit 1mo ago.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesApache-2.0Verify license before production use.
AgentHub Score
63 / 100
Composite score from 6 signals. How we score →
Active project
63Score
Growth
94A+
Activity
68C+
Documentation
70C+
Maturity
77B
Community
93A+
Production
58C
GitHub stars · 78 days observed969 +0.21% / 30d
snapshots
Repository activity · 78 days observedReal snapshots from pushed_at
inactivepushed
2026-07-262026-10-13
Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
LanguagePython
LicenseApache-2.0
Sourcegithub
Open source✗ No
Commercial use—
Docs—
Demo—
Paper—

AgentHub Score

63
Score 63/100
Below average

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