EVIE-Preview-4.5B
EVIE-Preview-4.5B is a multilingual visual document retrieval model built on the Qwen3.5-4B vision language backbone. It uses ColBERT style late interaction with 128 dimensional multi vector token embeddings to match text queries against document images, combining linear and full attention layers to retrieve across charts, tables, scientific reports, and financial filings in multiple languages.
- Type
- Multimodal
- Weights
- Open
- Downloads
- 2.6k
- Likes
- 99
- Pipeline
- visual document retrieval
- License
- apache-2.0
Model hub
tencent/EVIE-Preview-4.5B
- Repo
- tencent/EVIE-Preview-4.5B
- Library
- colpali-engine
- Access
- Public
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