Tencent has released EVIE-Preview-4.5B, a multilingual Visual Document Retrieval (VDR) model built on Qwen3.5-4B. This model utilizes ColBERT-style late interaction with compact 128-dimensional multi-vector token embeddings, resulting in a 4.54B parameter count. EVIE achieves state-of-the-art performance on ViDoRe benchmarks, outperforming larger models and significantly reducing vector storage and indexing costs by 8x to 32x. AI
IMPACT Enables significant cost reductions and improved performance in visual document retrieval tasks.
RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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