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Parent(s): 662e8fc
Add demo and social links
Browse filesCo-authored-by: Codex <codex@openai.com>
- FIELD_NOTES.md +3 -0
- README.md +8 -1
FIELD_NOTES.md
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@@ -146,6 +146,9 @@ The next version would add a few things:
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- Space: https://huggingface.co/spaces/build-small-hackathon/split-brain-copilot
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- Public app: https://build-small-hackathon-split-brain-copilot.hf.space
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- Models: `onnx-community/Qwen2.5-Coder-1.5B-Instruct` and `bartowski/Qwen2.5-Coder-14B-Instruct-GGUF`
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Built by Blessing Mwiti in collaboration with OpenAI Codex.
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- Space: https://huggingface.co/spaces/build-small-hackathon/split-brain-copilot
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- Public app: https://build-small-hackathon-split-brain-copilot.hf.space
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- Demo video: https://youtu.be/tLZ1Y0ldAe0
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- LinkedIn post: https://www.linkedin.com/posts/blessingmwiti_buildsmallhackathon-webgpu-modal-ugcPost-7469852940250468354-_TQq
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- X/Twitter post: https://x.com/BlessingMwiti/status/2064088119008219337
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- Models: `onnx-community/Qwen2.5-Coder-1.5B-Instruct` and `bartowski/Qwen2.5-Coder-14B-Instruct-GGUF`
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Built by Blessing Mwiti in collaboration with OpenAI Codex.
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README.md
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@@ -26,6 +26,12 @@ The result is a split-brain workflow: fast local generation first, slower cloud
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Try it in Chrome 113+ on desktop: load the local model, enter a coding prompt, generate, verify, then run the sandbox.
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## Why it fits Build Small
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This project is built for the **An Adventure in Thousand Token Wood** track: the AI behavior is the experience. The fun part is not just that it writes code, but that two small models disagree, verify, and visibly reconcile their answers.
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- Local model: browser WebGPU loading works with quantized weights.
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- Verifier: Modal endpoint deployed.
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- Sandbox: Modal Python execution endpoint deployed.
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Try it in Chrome 113+ on desktop: load the local model, enter a coding prompt, generate, verify, then run the sandbox.
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## Demo and Socials
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- Demo video: https://youtu.be/tLZ1Y0ldAe0
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- LinkedIn post: https://www.linkedin.com/posts/blessingmwiti_buildsmallhackathon-webgpu-modal-ugcPost-7469852940250468354-_TQq
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- X/Twitter post: https://x.com/BlessingMwiti/status/2064088119008219337
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## Why it fits Build Small
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This project is built for the **An Adventure in Thousand Token Wood** track: the AI behavior is the experience. The fun part is not just that it writes code, but that two small models disagree, verify, and visibly reconcile their answers.
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- Local model: browser WebGPU loading works with quantized weights.
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- Verifier: Modal endpoint deployed.
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- Sandbox: Modal Python execution endpoint deployed.
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- Demo video and social posts: published.
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- Remaining submission work: public Field Notes URL and submission form.
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