README.md

metadata

title: phenome playground
emoji: 🧬
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 6.15.1
python_version: 3.12.12
app_file: app.py
pinned: false
short_description: A genome is the system prompt — conditioned LLM personas
models:
  - nyxia/phenome-qwen3.5-4b

🧬 phenome playground

A genome is the system prompt.

Instead of writing a 3,000-token persona prompt ("be warm but not too warm, use lists, never say 'as an AI'…"), phenome encodes the whole persona as a compact ~126-character symbolic genome — 21 trait loci, each with two alleles and a 0–3 intensity dial — and a LoRA learned to read that string directly. No written system prompt. Same model, different genes → different persona.

Pick a curated preset (Method Actor, Bracket-Bard, Stage Director, Goblin, Roaster, Contrarian, Terminal, Emoji Concierge, Storyteller, Sensory Drifter) or hit 🎲 Reroll to roll fresh genes. Open the genome accordion to see the exact alpha6 string the model is reading and its decoded traits.

• Model: nyxia/phenome-qwen3.5-4b — Qwen3.5-4B + phenome LoRA, merged
• The idea (blog): Should we use genetics instead of system prompts for AI Agents & Personas?

Watch the verbosity, humor, warmth, structure and pushback axes move as you switch personas on the same question. That shift is the genome doing the work.

Personalities here are bold (sassy, blunt, chaotic) but safe-for-work — no explicit content.