Minibase gives you the tools and infrastructure to train and deploy lightweight, interpretable AI models right from your browser.
Try It Out
Train and download models without installing packages or integrating with external services.
Fine-tune models using your own datasets or those shared by the community.
No scraping or formatting headaches — we convert your datasets into a universal format that works across all models.
Join our community of thousands of users building and sharing models, datasets and insights.
Models trained with Minibase are often more accurate at narrow tasks than large, frontier models.
Keep your models and datasets private, or share them with the community.
Get access to a diverse set of datasets and models from leading AI builders, hobbiests, and industry experts.
250,000 Downloads - 1.5T Tokens Generated
"I built a small model to tag customer feedback with no prior ML experience. The accuracy surprised everyone. Minibase made something complex feel easy."
"I wasn’t expecting small models to be this accurate. Most lightweight models lose nuance, but Minibase models stay precise. They pick up context, handle edge cases, and stay stable across datasets."
“I can build, test, and deploy a model on Minibase in a single day. This gave me my time back. I spend more hours strategizing for the company and fewer hours debugging code."
"Working with Minibase’s small, focused models changed how I think about AI. It’s a smarter way to build. Each model does one thing exceptionally well, and together they create something greater than the sum of their parts."
"Our team switched from API-based text processing to on-device Minibase models. It cut costs immediately and removed privacy concerns. The best part was the models got faster and more accurate too."
"Minibase makes the whole process simple. I can go from a dataset to a working model in the same day, and it actually performs well. That kind of speed changes how I work."
"We don’t have a machine learning team, but we built a working model in one afternoon. Minibase took care of everything technical behind the scenes."
"Minibase handles everything on-device, so I don’t need to think about where my data goes. That privacy by design is a necessity to me. It’s simple, secure, and still performs better than I expected."
See how developers and researchers are building and deploying tiny, fast, and open AI models with Minibase.
Learn More
Minibase lets you train, download, and deploy small AI models in your browser—no coding required. You can fine-tune base models using your own datasets or those shared by the community, then use them offline, on-device, or in specialized workflows.
Minibase is for developers, researchers, students, and hobbyists who want more control over their AI models. Whether you’re building custom tools for the lab, fraud detectors for a bank, or embedded models for a robot, Minibase gives you the infrastructure to do it fast.
Yes. Minibase is built for non-programmers. You don’t need to write code or use the command line. Our graphical interface guides you through the entire process, from dataset upload to model training and deployment.
No setup is needed. Minibase runs in your browser. You can train and download models instantly, without installing packages or integrating with external services.
Your data and models are private by default. You choose what to share. Public datasets and models can be bought and sold through the platform, but private assets are never shared, sold, or used for training without your consent.
Most AI platforms are built for massive, opaque foundation models. Minibase is different. We focus on tiny, transparent models that are fast, interpretable, and easy to deploy anywhere. Plus, we’re building a real community: one where users get paid for their contributions.
Minibase is free to join. We charge on a per-use basis for model training, dataset downloads, and model downloads. You only pay for what you use.
Yes. Just signup using the links in the navigation bar. Or send an email to hello@minibase.ai to get started.
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