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PDF Document Analysis

# PDF Document Analysis

Colqwen2.5 3b Multilingual V1.0 Merged
MIT
A multilingual visual retrieval model based on Qwen2.5-VL-3B-Instruct and ColBERT strategy, supporting dynamic input image resolution and generating ColBERT-style multi-vector text and image representations.
Text-to-Image Transformers Supports Multiple Languages
C
tsystems
70
0
Colqwen2.5 7b Multilingual V1.0
MIT
A multilingual visual retrieval model based on Qwen2.5-VL-7B-Instruct using the ColBERT strategy, ranked first in the Vidore benchmark
Text-to-Image Supports Multiple Languages
C
Metric-AI
4,699
7
Colpali V1.3
MIT
ColPali is a visual retrieval model based on PaliGemma-3B and ColBERT strategy, designed for efficient indexing of document visual features
Text-to-Image English
C
vidore
96.60k
40
Colqwen2 V1.0
Apache-2.0
ColQwen2 is a visual retrieval model based on Qwen2-VL-2B-Instruct and the ColBERT strategy, designed for efficient indexing of document visual features.
Text-to-Image Safetensors English
C
vidore
106.85k
86
Colqwen2 V0.1
Apache-2.0
A visual retrieval model based on Qwen2-VL-2B-Instruct and ColBERT strategy, capable of efficiently indexing documents through visual features
Text-to-Image English
C
vidore
21.25k
170
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