Informative Essay
“LISA Model, CHEM‑AL, and GEGG Sets (175 Link)”
| Category | Number of Images | Typical Resolution | Annotation Types | |----------|-------------------|--------------------|------------------| | Organic molecules | 3,200 | 512 × 512 px | SMILES, IUPAC name, functional‑group tags | | Reaction schemes | 1,500 | 1024 × 768 px | Arrow‑pushing steps, reagents, conditions | | 3D renderings | 1,800 | 1024 × 1024 px | XYZ coordinates, ball‑and‑stick style | | Lab‑equipment | 500 | 800 × 600 px | Annotated with equipment IDs | | Miscellaneous | 500 | 640 × 480 px | Spectra overlays, safety symbols | lisa+model+chemal+and+gegg+sets+175+link
| Question | Answer |
|----------|--------|
| Is the GEGG dataset free to use for commercial projects? | No. It is released under a CC‑BY‑NC license, which permits non‑commercial use only. For commercial applications you must obtain a separate license from the GEGG group. |
| Can LISA generate 3‑D molecular visualizations? | The base LISA model outputs 2‑D raster images. However, an experimental extension (lisa‑3d‑gen) can produce depth‑map outputs that can be post‑processed into 3‑D renderings with tools like PyMOL. |
| What safety mechanisms does Chemal have for hazardous reactions? | Chemal‑AI automatically runs the generated text through a toxic‑content filter and cross‑checks any reagents against the GHS database. If a high‑risk chemical appears, the UI flags the step in red and suggests safer alternatives. |
| Do I need a GPU to run LISA locally? | For inference on the 1.5 B‑parameter model, a modern GPU (≥ 8 GB VRAM) is recommended for reasonable latency. A CPU‑only run is possible but will be several seconds per image. |
| Where can I find community‑contributed LISA prompts for chemistry? | The lisa‑chem‑prompts repository on GitHub (https://github.com/lisa-model/lisa-chem-prompts) contains a curated list of over 300 reaction‑description prompts and their expected image outputs. | Informative Essay “LISA Model, CHEM‑AL, and GEGG Sets