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WangLab UofT

wanglab

Models in Library1
Datasets in Library0
Models on Hugging Face31
Followers162

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Qwen3.5-9B fine-tuned to reason mechanistically about genetic (CRISPR) perturbations and predict how a queried pathway responds — upregulated, downregulated, or unchanged — in a given cell. This is the cell-text arm of BioReasonCell: the v9.9 SFT recipe, with one change. The model gets no STATE cell embedding. It reads the cell as text instead, a Cell Context: block in the prompt, so it is a plain text model and every input it needs can be built from a new screen's h5ad. The block follows the queried pathway, and the prompt's opening reads "Given a cell's context, a genetic perturbation, …": Top Expressed Genes are the 50 most abundant genes of the line's non-targeting control cells…

Access requested at publisher other 9.4B parameters transformers