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Running on Zero
| title: Polaris-Pro Scientific Multimodal Model | |
| emoji: 🔬 | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.20.0 | |
| app_file: app.py | |
| short_description: Scientific multimodal model for RNA/DNA/protein/molecules | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| # Polaris-Pro — Unified Scientific Multimodal Model | |
| Interactive demo for [`sais-org/Polaris_Pro`](https://huggingface.co/sais-org/Polaris_Pro), | |
| an 8B foundation model that understands and generates across proteins, RNA, DNA | |
| and small molecules through a single natural-language interface. | |
| Tasks exposed here (each uses the authors' official system prompt from | |
| `run_examples.sh`): | |
| - **RNA** — ncRNA family classification, translation-efficiency regression | |
| - **DNA** — promoter detection, enhancer-activity regression | |
| - **Protein** — solubility, stability, Enzyme Commission number | |
| - **Molecule** — Ames mutagenicity, dipole moment, text → SMILES generation | |
| - **Scientific text QA** | |
| Weather forecasting and medical-image segmentation are part of the model but | |
| need gridded netCDF I/O / gated SAM-3 weights, so they are out of scope here. | |
| Built on the custom architecture from the | |
| [Polaris-Pro GitHub repo](https://github.com/Shanghai-Academy-of-AI-For-Science/Polaris-Pro) | |
| (vendored under `code/`). Runs on ZeroGPU. | |