Add HF community evidence thread

docs/hf-community-discussion.md

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+# Jawbreaker Submission Package
+
+Jawbreaker is a private scam-defense app for someone you love.
+
+It is built for the moment before someone clicks a suspicious link, replies to an impersonator, shares a code, calls an unknown number, or sends money. The motivating user is a friend's grandmother who had already been affected by scam messages; private identity and message details are intentionally omitted.
+
+## Main Links
+
+- Live Space: https://huggingface.co/spaces/build-small-hackathon/jawbreaker
+- Final model adapter: https://huggingface.co/build-small-hackathon/jawbreaker-minicpm5-1b-lora-v8
+- Dataset/eval bundle: https://huggingface.co/datasets/build-small-hackathon/jawbreaker-scam-defense-data
+- Collection: https://huggingface.co/collections/build-small-hackathon/jawbreaker-6a263632dcd0b6d41ca914ff
+- GitHub repo: https://github.com/gowtham0992/jawbreaker
+- Article draft: https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/docs/huggingface-article-draft.md
+
+## Model + Runtime
+
+- Base model: `openbmb/MiniCPM5-1B`
+- Adapter: `build-small-hackathon/jawbreaker-minicpm5-1b-lora-v8`
+- Runtime: Hugging Face ZeroGPU, direct Transformers inference
+- Training/eval: Modal A100 PEFT/LoRA runs
+- No external hosted LLM API is used in the scam-analysis path
+
+## Final Eval Evidence
+
+Final guarded hard-suite report:
+
+https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/eval/reports/jawbreaker-minicpm5-1b-lora-v8-hard632-safetyguard-v4.json
+
+Headline metrics:
+
+- Cases: 632
+- Risk accuracy: 579/632, 91.61%
+- Scam type accuracy: 561/632, 88.77%
+- Mean tactic recall: 90.69%
+- Dangerous as safe: 0
+- Dangerous as needs_check: 0
+- Safe as dangerous or suspicious: 0
+- Unsafe action violations: 0
+- Invalid predictions: 0
+- Model errors: 0
+
+## Evidence Docs
+
+- Field notes: https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/FIELD_NOTES.md
+- Codex evidence: https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/CODEX_JUDGE_EVIDENCE.md
+- Build log: https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/CODEX_BUILD_LOG.md
+- Honest submission guardrails: https://huggingface.co/spaces/build-small-hackathon/jawbreaker/blob/main/HONEST_SUBMISSION.md
+
+## Claimed Fit
+
+- Backyard AI: real family-safety workflow for scam defense
+- Best MiniCPM Build: MiniCPM5-1B is the live model family
+- Well-Tuned: published MiniCPM5-1B LoRA adapter and eval suite
+- Tiny Titan: 1B model under the 4B threshold
+- Off the Grid: no external hosted LLM API in the analysis path
+- Off Brand: custom Gradio Server UI, not stock component layout
+- Sharing is Caring: public model, dataset/evals, collection, build docs
+- Field Notes: product/model/runtime decisions documented
+- Modal: training and guarded eval runs on Modal A100
+- Codex/OpenAI: public GitHub with Codex-attributed commits and file-level evidence
+
+## Remaining Public Story Work
+
+- Demo video: pending
+- Social post: pending
+- Hugging Face Article: drafted, pending publication through the Articles UI
+
+The current submission is intended to be judged from the live Space plus the public model/dataset/collection/GitHub evidence above.