EVIE-4.5B

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   Tencent open-sources EVIE-4.5B visual document retriever

   Tencent Hunyuan released EVIE-4.5B on Hugging Face under Apache-2.0, a visual document retrieval model built on a ColQwen3.5 late-interaction multi-vector architecture with a single-projection Prefix-MRL head that can be truncated at runtime from 2048 down to 64–2048 dimensions without separate checkpoints. The model card reports 66.02 on ViDoRe V3 (66.75 for the 8B flagship teacher) and pairs it with training-free HAC token compression that cuts roughly 750 vectors per page to 32, bringing a 1M-page index to about 3.81 GiB. Tencent says weights, training pipelines (including ARD distillation from the 8B teacher), the HAC algorithm and evaluation suites are all open-sourced, with a formal paper to follow.

   腾讯混元 · Hugging Face · 🔥 9

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