LT-OPD trains vision-language models with fewer visual tokens through on-policy self-distillation. This Qwen3.5-4B model combines CDPruner with an MLP that aggregates discarded tokens into their nearest retained tokens, preserving their original positions without adding tokens. Use Python 3.12 and the CUDA environment in the installation guide. Load the model with LT-OPD's visual-token compression runtime
Independent publisher
Ruixuan Yang
yyy051007
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Image and text to text.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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