marin-community
Marin is an open lab for building foundation models together, sharing all code, data, experiments, and results in real-time.
At a Glance
- AI Researchers
- Open Source Developers
- Academic Institutions
AI Tools by marin-community
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Marin
Open Source Foundation Model Framework
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Latest News
Introducing Marin: An Open Lab for Building Foundation Models
Levanter merges into Marin monorepo
Percy Liang presents Marin at PyTorchCon
Marin featured on Google Open Source Blog
Products & Services
Open-source framework for research and development of foundation models.
Fully open-source large language models trained from scratch with transparent data and recipes.
Analysis tool for monitoring model performance and training progress.
Reusable analysis view for exploring AI scaling behavior.
Market Position
Unlike commercial 'open-weight' models, Marin provides 100% transparency into the training process from day one.
Leadership
Founders
Percy Liang
Director of the Center for Research on Foundation Models (CRFM) and Associate Professor of Computer Science at Stanford University. Co-founder of Together AI.
Executive Team
Percy Liang
Lead / Director
Stanford Professor and Director of CRFM.
David Hall
Core Maintainer / Researcher
Contributor to Levanter and lead maintainer of the Marin monorepo.
Board of Directors
Founding Story
Started at Stanford CRFM to achieve true transparency in AI by releasing not just model weights but the entire training recipe, code, and data history.
Business Model
Revenue Model
Open-source research initiative supported by research grants, philanthropic donations, and corporate compute sponsorships.
Pricing Tiers
All code, data, and model weights are freely available under open licenses.
Target Markets
- AI Researchers
- Open Source Developers
- Academic Institutions
- Foundation model research
- Open-source AI development
- Scaling laws analysis
- AI transparency and reproducibility
- AI Community
- Academic Researchers