Qwen2 VL 2B Instruct GGUF
Qwen2-VL-2B-Instruct is a multimodal vision-language model that supports image-text generation tasks, based on the Qwen2 architecture with a parameter scale of 2B.
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Release Time : 12/15/2024
Model Overview
This model is a multimodal vision-language model capable of processing image and text inputs to generate relevant text outputs. It is suitable for application scenarios requiring combined visual and linguistic understanding.
Model Features
Multimodal Support
Capable of processing both image and text inputs to generate relevant text outputs.
Efficient Quantization
Provides multiple quantized versions of the model to suit different hardware and performance needs.
Long Context Support
Supports context lengths of up to 32,000, suitable for handling complex tasks.
Model Capabilities
Image-Text Generation
Multimodal Understanding
Visual Question Answering
Use Cases
Visual Question Answering
Image Caption Generation
Generates detailed textual descriptions based on input images.
Visual Question Answering
Answers questions about input images.
Multimodal Interaction
Image-Text Combined Tasks
Combines image and text inputs to generate relevant text outputs.
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