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# ColQwen2.5-3b-multilingual-v1.0: Multilingual Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
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## Ranked #1 among models smaller than 7B parameters and #
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### This is the base version trained on 4xA100 80GB with per_device_batch_size=128 and gradient_accumulation_steps=2 for 5 epoch.
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# ColQwen2.5-3b-multilingual-v1.0: Multilingual Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
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## Ranked #1 among models smaller than 7B parameters and #2 overall on the Vidore benchmark (as of February 11, 2025). The reported scores are on the [Vidore Leaderboard](https://huggingface.co/spaces/vidore/vidore-leaderboard).
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### This is the base version trained on 4xA100 80GB with per_device_batch_size=128 and gradient_accumulation_steps=2 for 5 epoch.
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