TongjiZhanglab/chrombert-human-1kb-lite

ChromBERT: A foundation model for learning interpretable representations for context-specific transcriptional regulatory networks

ChromBERT-Lite

This version of the model is trained for human data at 1 kb resolution.

For users who prioritize computational efficiency, we also provide ChromBERT-Lite, a lightweight version of ChromBERT. In our tests, ChromBERT-Lite reduced runtime by at least half across representative ChromBERT-tools tasks compared with the original ChromBERT model.

ChromBERT-Lite generally shows slightly lower performance, with noticeable decreases in a small number of tasks. Therefore, it is not intended to replace the original ChromBERT model, which remains the recommended default for accuracy-oriented analyses. Instead, ChromBERT-Lite is provided as an optional lightweight alternative for rapid exploration, large-scale screening, or resource-limited computing environments.