Build something small, local, and yours.
Registration’s closed and the jam is underway — this is your field guide. Everything you need to enter cleanly: the rules, the 29 ways to win, and the right kit for what you’re building.
The future of AI doesn’t have to live in someone else’s data center.
Build Small is a return to small, local, tinkerable models. Open weights you can read, run and reshape — everything under 32B parameters, humming away on hardware you actually own. Less API bill, more workshop.
Solve a real problem, or wander somewhere weird. Both are equally celebrated — and carry the same prize pool.
Practical, problem-solving apps built to improve daily life — for you or someone close to you. Useful things that run on hardware you own.
Whimsical, delightful, AI-native apps that push the boundaries of fun. Wander somewhere stranger and show off what small models can dream up.
The things every submission needs. Tick them off and you’re on the board.
Every model must be under 32B parameters. Combine several small models if you like — but each one’s total parameter count must stay below the cap.
Deploy your project as a Gradio App inside the official Build Small org on Hugging Face. Docker is fine, as long as the interface is a Gradio Space.
Submit a demo video showing your app working — so judges can evaluate it even if GPU or API limits stop a live run.
Create one social-media post showcasing your app, and link to it from your Space README.
Submit as many apps as you like. If you rely on the provided Zero GPU resources, you’re limited to 10 Zero GPU apps per user.
Add frontmatter tags for the tracks and badges you want to be considered for, plus a short write-up of the idea and tech.
A $48k cash pool plus 20k Modal credits, two NVIDIA RTX GPUs and ChatGPT Pro — across track placements, sponsor challenges, and collectable bonus badges.

To qualify ·Build with MiniCPM models.

To qualify ·Requires Codex-attributed commits in your connected GitHub repo or Space.

To qualify ·Build with Nemotron models.

To qualify ·Use Modal for the development or runtime of your app, and note it in your Space README.
The best custom UI that pushes past the default Gradio look.
gr.Server is your friend — go well beyond the stock components and make it yours.
The best app built on a genuinely tiny model.
Models must be ≤ 4B parameters. Biggest impact from the smallest weights wins.
The full package: great app, great demo video, great social post.
Storytelling counts as much as the build — sell it across all three.
The best agentic app.
Multi-step tool use and planning — all under the 32B cap, of course.
The most bonus criteria met across the board.
Ties go to the most ambitious, highest-quality submission despite the extra constraints.
For the entry that’s amazing but fits no category.
No entry needed — every submission is in the running. We know you’re out there.
Tell us the shape of your idea and we’ll point you at the partners and models worth reaching for. Then dig into their pages for the full guide.
Models, tools and compute from across the small-AI world. Tap any one for its full kit and support channels.

MiniCPM family — tiny, capable text · vision · audio · omni models (1B–8B).

FLUX.2 Klein — text-to-image & precise image editing at 4B / 9B.

Codex coding agent (GPT-5.5) with GitHub, Figma & Hugging Face plugins.

Nemotron 3 family — Nano · Omni · ASR · Parse · Embed.

Serverless compute for inference, training, batch & sandboxes.

Mellum 2 — 12B MoE coding models, Thinking & Instruct.
Cohere Transcribe (ASR) and Tiny Aya multilingual models.
The markers between you and the finish line.
Double-check your build satisfies the entry rules and any prize criteria you’re targeting.
Join the Build Small hackathon organisation on Hugging Face — your home base for the jam.
Upload your submission as a Gradio Space inside the org.
Film a demo selling your Space — no humility. Put it on YouTube, upload it to the Space, or host it publicly.
Share one post about your build on social media.
Add links to the post and demo video, frontmatter tags for tracks + badges, and a short write-up of the idea and tech.