[r/ML] [P] ColQwen3.5-v1 4.5B SOTA on ViDoRe V1 (nDCG@5 0.917)

Summary

ColQwen3.5-v1 is a new 4.5B parameter model built on Qwen3.5-4B, leveraging the ColPali late-interaction approach. It has achieved state-of-the-art performance on the ViDoRe V1 benchmark (nDCG@5 0.917) and is competitive on ViDoRe V3. The model, trained with hard negative mining and specialized for finance/table documents, is open-source under Apache 2.0 with weights available on Hugging Face.

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