Model: tsystems/colqwen2.5-3b-multilingual-v1.0
Author: tsystems
Pipeline: visual-document-retrieval
Library: peft
Tags: peft, safetensors, vidore, multimodal_embedding, multilingual_embedding, Text-to-Visual Document (T→VD) retrieval, visual-document-retrieval, en, fr, es, it, de, dataset:openbmb/VisRAG-Ret-Train-Synthetic-data, dataset:openbmb/VisRAG-Ret-Train-In-domain-data, dataset:tsystems/vqa_de_en_batch1, dataset:vidore/colpali_train_set, dataset:llamaindex/vdr-multilingual-train, dataset:Metric-AI/tabfquad_train_set, arxiv:2004.12832, arxiv:2407.01449, arxiv:2106.09685, base_model:Qwen/Qwen2.5-VL-3B-Instruct, base_model:adapter:Qwen/Qwen2.5-VL-3B-Instruct, license:mit, region:us
Base models (adapter): id: Qwen/Qwen2.5-VL-3B-Instruct
Card metadata: license: mit
datasets: openbmb/VisRAG-Ret-Train-Synthetic-data, openbmb/VisRAG-Ret-Train-In-domain-data, tsystems/vqa_de_en_batch1, vidore/colpali_train_set, llamaindex/vdr-multilingual-train, Metric-AI/tabfquad_train_set
language: en, fr, es, it, de
base_model: Qwen/Qwen2.5-VL-3B-Instruct
tags: vidore, multimodal_embedding, multilingual_embedding, Text-to-Visual Document (T→VD) retrieval
library_name: peft
pipeline_tag: visual-document-retrieval
Likes: 20 | All-time downloads: 215866
Created: 2025-03-09 17:05:09