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webAI-ColVec1.1-4b

Visual Document Retrieval
Transformers
Safetensors
multilingual
qwen3_5
feature-extraction
text
image
multimodal-embedding
vidore
colbert
colqwen3_5
multilingual-embedding
custom_code
Model card Files
xet
 Community
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@@ -93,6 +93,10 @@ were read from the live
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  [ViDoRe V3 MTEB leaderboard](https://mteb-leaderboard.hf.space/benchmark/ViDoRe%28v3%29)
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  on July 22, 2026.
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  | Model | CompSci | Energy | FinanceEn | FinanceFr | HR | Industrial | Pharma | Physics | **Avg. public** |
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  | :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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  | **[webAI-ColVec1.1-8b](https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b)** | 80.14 | 70.09 | **71.89** | **55.10** | 68.49 | **57.41** | 67.88 | 51.29 | **65.29** |
 
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  [ViDoRe V3 MTEB leaderboard](https://mteb-leaderboard.hf.space/benchmark/ViDoRe%28v3%29)
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  on July 22, 2026.
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+ Model encoding runs in `bfloat16`. Before MaxSim scoring, query and document
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+ embeddings are moved to CPU and converted to `float32`. All reported ViDoRe
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+ results use this FP32 scoring path.
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+
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  | Model | CompSci | Energy | FinanceEn | FinanceFr | HR | Industrial | Pharma | Physics | **Avg. public** |
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  | :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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  | **[webAI-ColVec1.1-8b](https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b)** | 80.14 | 70.09 | **71.89** | **55.10** | 68.49 | **57.41** | 67.88 | 51.29 | **65.29** |