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π Welcome to the AIFoundry CORE-ET Hackathon
Port real models. Run them on real silicon. Share the results. β‘
This is a community hackathon for people who want to make open AI workloads run closer to the edge: vision, speech, audio, local language models, robotics, drones, and weird benchmark ideas that deserve to touch hardware. π€
π Ready to join?
First step: join the Hugging Face organization so you show up with the rest of the teams, follow shared resources, and get the latest hackathon updates.
π Join the AIFoundry Hackathon Org
Bring your teammates too. The org page is the public roster for people, teams, models, demos, and board results around the hackathon. π
π§© Pick a quest
| Quest | What you can build |
|---|---|
| ποΈ Vision | Denoising, detection, camera-first edge workloads |
| ποΈ Speech + audio | Whisper-style kernels and streaming-friendly pipelines |
| π§ Local LLMs | GGUF and llama.cpp flows on ET-backed runtimes |
| π€ Robotics + drones | Perception, control, and low-power deployment paths |
| βοΈ Systems | Faster kernels, better memory movement, cleaner board runners |
| π§ͺ Wildcard | Bring your own open model and make the benchmark reproducible |
π¦ Model repo
The model repo is the technical home for examples, docs, benchmark artifacts, and the submission path:
π Open the CORE-ET model repo
Start from an existing port, improve a kernel, add a new model, or package a small demo that shows why your port matters.
π§ How participation works
- π€ Join this Hugging Face organization.
- π― Team up or go solo.
- π― Pick a model, kernel, benchmark, or demo target.
- π Use the model repo to follow the technical path.
- π Submit your port or improvement.
- π The board workflow runs and comments back with results.
π± Good first contributions
- β‘ Improve an existing DnCNN, YOLO, Whisper, or LLM benchmark.
- π Add a new open model with a pinned Hugging Face reference.
- π Make a kernel faster and document the board result.
- π¬ Package a small demo that shows the workload in action.
- π«Ά Help another participant reproduce a run.
π¬ Need help?
Join Discord and ask in #community-lab:
Tell us what you want to port, what hardware access you need, and whether you are looking for teammates.