← Single-cell & foundation models
TranscriptFormer
CZI cross-species generative single-cell foundation model trained on 112M cells from 12 species.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | czi-ai/transcriptformer |
| First public | 2025-04-28 (source) |
| Paper | https://doi.org/10.1101/2025.04.25.650731 |
| License | MIT |
| Pricing | Open source |
| Tags | #foundation-model#cross-species#generative |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Up to 112M cells, 12 species |
|---|---|
| Architecture | Generative transformer, 444M trainable params |
| Tasks | Cell-type classification, zero-shot disease state, cross-species annotation transfer |
| Species | 12 species |
| GitHub stars | 168 |
| Interface | Package |
Specs come from each project's README, paper or official page · TranscriptFormer README · TranscriptFormer paper. “—” means we couldn't verify it.
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