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Deepseer R1 Vision Distill Qwen 1.5B Google Vit Base Patch16 224
DeepSeer is a vision-language model developed based on the DeepSeek-R1 model, supporting chain-of-thought reasoning and trained through dialogue templates for visual models.
Downloads 25
Release Time : 1/30/2025
Model Overview
DeepSeer is a model that combines visual and language processing capabilities, featuring chain-of-thought reasoning and the ability to handle image-to-text conversion tasks.
Model Features
Chain-of-Thought Reasoning
Supports chain-of-thought reasoning through dialogue templates, enhancing the model's explanation and reasoning capabilities.
Vision-Language Integration
Combines visual and language processing capabilities to understand and generate text related to images.
Based on DeepSeek-R1
Fine-tuned based on the DeepSeek-R1-Distill-Qwen-1.5B model, inheriting its powerful language processing capabilities.
Model Capabilities
Image Understanding
Text Generation
Chain-of-Thought Reasoning
Visual Question Answering
Use Cases
Education
Visual Question Answering System
Used for visual question answering in educational settings to help students understand image content.
Provides detailed explanations and reasoning processes.
Research
Vision-Language Model Research
Used to study the reasoning capabilities and performance of vision-language models.
Provides case studies on chain-of-thought reasoning.
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