Hugging Face Grants
Hugging Face compute grants and support programs for open source AI researchers, nonprofits, and educational institutions working on open AI models and datasets.
Overview
Hugging Face, the AI community platform and open source AI company, offers several grant and support programs for researchers, educators, and nonprofit organizations working with open source AI. Programs include compute grants (providing GPU compute credits for training and inference), the Hugging Face PRO/Enterprise plan access for qualifying nonprofits and research institutions, dataset hosting support, and model hub visibility boosts. Hugging Face hosts over 400,000 open source models and 100,000 datasets, and its grant programs aim to democratize access to AI development for those who cannot afford commercial compute.
What You Can Find Here
- Compute grants (GPU credits on Hugging Face inference and training infrastructure)
- Free or discounted access to Hugging Face PRO and Enterprise plans for qualifying organizations
- Hugging Face model hub support for open source researchers publishing models
- Hugging Face Spaces (deployment platform) credits for nonprofit and educational demos
- Support for open source multilingual and low-resource language AI projects
- Community visibility and promotion for notable open source AI projects
Who Should Use This
- Academic researchers training open source AI models who need compute resources
- Nonprofit organizations developing AI tools for social impact
- Educators and universities seeking AI infrastructure for coursework and demonstrations
- Open source contributors publishing models and datasets to the Hugging Face Hub
- Researchers working on underrepresented languages or low-resource AI tasks
How to Get Started
- Step 1: Visit huggingface.co and check the "Compute Grants" and "Nonprofit Program" pages under Products
- Step 2: For compute grants: apply through the form at huggingface.co/support/compute-grants
- Step 3: For nonprofit/educational plan access: contact Hugging Face through the official support channels
- Step 4: Describe your open source project, its public benefit, and the specific compute or support needs
- Step 5: Hugging Face reviews applications on a rolling basis - active open source contributors are prioritized
Things to Check Before Applying
- Hugging Face grants are primarily compute and infrastructure support - not cash grants
- Priority is given to open source projects that will publish their results and models publicly
- For-profit AI companies are typically not eligible - grants target academics, nonprofits, and open source
- Check the current Hugging Face grant pages as programs evolve over time
Frequently Asked Questions
Does Hugging Face offer cash grants?
Primarily not - Hugging Face grants are compute credits, platform access, and infrastructure support rather than cash. For cash grants in AI, see programs like NLNet, Mozilla Builders, or government research funding.
Who qualifies for Hugging Face compute grants?
Researchers, educators, nonprofits, and open source contributors working on public-benefit AI projects. Commercial projects and closed-source work are typically not eligible.
Can I use Hugging Face grants for proprietary models?
Compute grants are intended for open source work - models and results are expected to be published publicly. Proprietary/closed models are outside the grant program scope.
How large are Hugging Face compute grants?
Grant sizes vary based on project needs and available resources. Researchers can apply for amounts ranging from small inference credits to significant training compute budgets.
Is there a Hugging Face fellowship program?
Hugging Face has offered fellowship and residency-style programs for open source contributors at various times. Check huggingface.co/careers and the HuggingFace blog for current programs.
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