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Download README.md from DaisyChainAI/Daisychain-Genomics-Demo: direct link, hf CLI and curl.
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- Download file 895 Bytes
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https://huggingface.co/spaces/DaisyChainAI/Daisychain-Genomics-Demo/resolve/2be8d0ebba54825dc4ad689bc6ec108ca83cf39d/README.md
- Command line
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hf download hf://spaces/DaisyChainAI/Daisychain-Genomics-Demo@2be8d0ebba54825dc4ad689bc6ec108ca83cf39d/README.md
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curl -L -o README.md https://huggingface.co/spaces/DaisyChainAI/Daisychain-Genomics-Demo/resolve/2be8d0ebba54825dc4ad689bc6ec108ca83cf39d/README.md
895 Bytes
metadata
title: DaisyChain Genomics Demo v1
emoji: 🌼
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 5.9.1
python_version: '3.12'
app_file: app.py
pinned: true
license: apache-2.0
short_description: Real-time DNA routing across modular specialists
🌼 DaisyChain — interactive routing
Four ~74M DNA/RNA specialists (≈295M total, under Carbon-500M) + a learned router. Each specialist is distilled per-domain from Carbon-500M; the router reads how surprised each one is by a sequence (bits/base) plus its hidden state, and hands the work to the home specialist.
Paste a DNA sequence and watch the chain light up specialist-by-specialist, then the router pick its home domain in real time — and optionally generate a continuation from the chosen specialist.
Model weights: DaisyChainAI/daisychain-genomics.