webAI-Official
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webAI-ColVec1.1-8b

Visual Document Retrieval

feature-extraction

multimodal-embedding

multilingual-embedding

Model card Files Files and versions

Zhan-Lun commited on 3 days ago

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@@ -96,6 +96,10 @@ were read from the live
 [ViDoRe V3 MTEB leaderboard](https://mteb-leaderboard.hf.space/benchmark/ViDoRe%28v3%29)
 on July 22, 2026.
 | Model | CompSci | Energy | FinanceEn | FinanceFr | HR | Industrial | Pharma | Physics | **Avg. public** |
 | :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
 | **webAI-ColVec1.1-8b (this model)** | 80.14 | 70.09 | **71.89** | **55.10** | 68.49 | **57.41** | 67.88 | 51.29 | **65.29** |

 [ViDoRe V3 MTEB leaderboard](https://mteb-leaderboard.hf.space/benchmark/ViDoRe%28v3%29)
 on July 22, 2026.
+Model encoding runs in `bfloat16`. Before MaxSim scoring, query and document
+embeddings are moved to CPU and converted to `float32`. All reported ViDoRe
+results use this FP32 scoring path.
 | Model | CompSci | Energy | FinanceEn | FinanceFr | HR | Industrial | Pharma | Physics | **Avg. public** |
 | :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
 | **webAI-ColVec1.1-8b (this model)** | 80.14 | 70.09 | **71.89** | **55.10** | 68.49 | **57.41** | 67.88 | 51.29 | **65.29** |