CoolFace
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colqwen

athrael-soju /colqwen-optimization-trail ColQwen3.5 Optimization Trail 776+ MTEB evaluation results from the development of ColQwen3.5-v1, ColQwen3.5-v2, and ColQwen3.5-v3, three visual document retrieval models using ColBERT-style late interaction with Qwen3.5-VL (4.5B params). Published benchmark scores are the output of a development process: train candidates, evaluate them, select the best. This dataset captures that entire process, not just the winners. Every seed, ablation, merge variant, and soup ratio that was… See the full description on the dataset page: https://huggingface.co/datasets/athrael-soju/colqwen-optimization-trail.image-to-textn<1K2 likes34 downloads7mo agoHugging Facenomic-ai /colpali-queries-mined-20250321-by-source-colqwen-minetext100K<n<1M0 likes24 downloads2y agoHugging Facejjore /colqwen_pdf2imageimage1K<n<10K0 likes21 downloads1y agoHugging FaceWenxingZhu /infovqa_colqwen2_embeddings InfoVQA ColQwen2.5 Embeddings This dataset contains pre-computed embeddings for the InfoVQA dataset using the ColQwen2.5 model. Dataset Structure The dataset consists of three configurations: Corpus Configuration Contains document images with their embeddings. from datasets import load_dataset corpus = load_dataset("WenxingZhu/infovqa_colqwen2_embeddings", "corpus", split="test") Fields: corpus-id (int): Document identifier image (Image): Original document… See the full description on the dataset page: https://huggingface.co/datasets/WenxingZhu/infovqa_colqwen2_embeddings.imageimage-to-text1K<n<10K0 likes15 downloads1y agoHugging Faceluke-kr /allganize-colqwen_v2imagen<1K0 likes9 downloads1y agoHugging Faceluke-kr /H-colqwenimagequestion-answeringn<1K0 likes3 downloads2y agoHugging Face