TODO.md

Hackathon badge/track TODO

Strategy: one Backyard AI submission, stacking as many merit badges, sponsor awards, and special awards as credibly fit the small-model / local-first story. Deadline: June 15, 2026 (Space + demo video + social post).

This PR (feat/finetuning_model) focuses on 🎯 Well-Tuned + Modal. Everything below is parked for follow-up PRs.

In this PR (finetuning + Modal) — done here

• Make published adapters public so judges can verify the Well-Tuned badge (research/modal/experiments.yaml: private: false).
• Add hackathon discoverability tags + license to the published model card (research/modal/_common.py: render_model_card).

🦙 Llama Champion badge (cheap, high value)

• Run the Space on the llama.cpp / GGUF backend (libs/inference/src/inference/llama_cpp.py).
• Add minicpm-v-4.6-gguf preset (openbmb/MiniCPM-V-4.6-gguf) — OpenBMB multimodal on llama.cpp.
• Document the llama.cpp path in README + Space (ACTIVE_MODEL=minicpm-v-4.6-gguf).

📓 Field Notes badge (cheapest miss — no blog exists yet)

• Write a blog post / report on the fine-tuning + Modal pipeline: skill-matrix QLoRA -> lm-eval -> per-skill gate -> Hub publish.
• Publish it (HF blog / personal) and link from README.
• This badge + the others clinches Bonus Quest Champion ($2k).

README + submission hygiene

• Update README badge checklist to reflect full strategy (add Llama Champion, Field Notes).
• Best Demo: polished demo video (real teacher -> topic -> .pptx download -> trace).
• Social post published (required for submission).
• Community Choice: share the Space widely.

Decided NOT to chase (conflicts with MiniCPM / local-first core)

• OpenAI Track — requires OpenAI models; collides with Tiny Titan / OpenBMB / Off-the-Grid.
• NVIDIA Nemotron — requires Nemotron model; same conflict.
• Thousand Token Wood — different main track; can't be in both.

Badge scorecard (target = all 6 + Bonus Quest Champion)

• 🔌 Off the Grid — local inference only
• 🎨 Off-Brand — custom Studio UI (Gradio 6 Server mode)
• 📡 Sharing is Caring — agent trace upload
• [~] 🎯 Well-Tuned — pipeline ready; needs a passing public adapter on the Hub
• 🦙 Llama Champion — see above
• 📓 Field Notes — see above