README.md

metadata

title: Jekyll & Hyde
emoji: 🎭
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
python_version: '3.12'
startup_duration_timeout: 1h
short_description: Dual-persona Gemma 2B LoRA — Jekyll & Hyde MoE demo
models:
  - google/gemma-2-2b-it
  - benjamin5607/jekyll-hyde-jekyll-lora
  - benjamin5607/jekyll-hyde-hyde-lora

Jekyll & Hyde — Hugging Face Demo

Browser demo of Jekyll & Hyde (Gemma 2 2B + dual LoRA, MoE blend, dynamic decoding).

Mode	Description
Chat	Auto MoE blend from prompt (gray-zone aware)
Jekyll	Guideline defense (strict, low temperature)
Hyde	Red-team probe
Duel	Hyde ↔ Jekyll rebuttal → middle-ground synthesis

Setup (maintainers)

1. Accept Gemma 2 license on your HF account.
2. Upload adapters: python scripts/upload_hf_hub.py
3. Create this Space from the GitHub repo with App file = hf_space/app.py (or duplicate hf_space/ into a dedicated Space repo).
4. Space Settings → Hardware → ZeroGPU (zero-a10g) — free for PRO hosts; visitors use daily GPU quota.

Or run: python scripts/enable_zerogpu_space.py 5. Add Space secret HF_TOKEN if gated model access fails (usually auto on Spaces).

Local smoke test

pip install -r hf_space/requirements.txt
set HF_JEKYLL_ADAPTER=benjamin5607/jekyll-hyde-jekyll-lora
set HF_HYDE_ADAPTER=benjamin5607/jekyll-hyde-hyde-lora
python hf_space/app.py

Full platform (MCP, Workforce, learning): GitHub — model_JekyllHyde