Evidence-Vector-Informed Embedding: Tencent's multi-vector, late-interaction visual document retrievers, built on ColQwen3.5-style backbones from Qwen3.5. EVIE-8B is the flagship teacher, producing 4,096-dimensional per-token embeddings with bidirectional full attention over page images and queries; EVIE-4.5B is the distilled student with Prefix-MRL and HAC for cheaper serving. Tencent's own leaderboard table places the pair at the top of ViDoRe V1, V2, and V3 among open multi-vector retrievers. Weights, inference pipelines, and evaluation suites are open under Apache 2.0; the paper is promised.

Model Details

Architecture DENSE
License Apache-2.0
Base model qwen3.5

Variants

Name Parameters Notes
EVIE-8B — Flagship teacher; 4096-D per-token embeddings, bidirectional attention
EVIE-4.5B — Student with Prefix-MRL and HAC
retrievalmultimodalopen-weight

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