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Cogvlm Grounding Generalist Hf Quant4

Developed by Rodeszones
CogVLM is a powerful open-source vision-language model supporting tasks like object detection and visual question answering, featuring 4-bit precision quantization.
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Release Time : 3/5/2024

Model Overview

CogVLM is a vision-language model with strong visual understanding and language generation capabilities, supporting tasks like object detection and image captioning.

Model Features

High-performance Cross-modal Capability
Achieves state-of-the-art performance on 10 classic cross-modal benchmarks, comparable to PaLI-X 55B
4-bit Quantization
Utilizes bitsandbytes 4-bit precision quantization to reduce hardware requirements
Object Grounding Capability
Can generate coordinate position information for objects in images

Model Capabilities

Object detection
Image captioning
Visual question answering
Cross-modal understanding

Use Cases

Image Analysis
Object Detection and Grounding
Identify objects in images and annotate their coordinate positions
Output format: Object description[[x0,y0,x1,y1]]
Intelligent Customer Service
Visual Question Answering
Answer natural language questions about image content
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