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Qwen2 VL 7B SafeRLHF
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Qwen2 VL 7B SafeRLHF

Developed by Foreshhh
Qwen2-VL-7B-Instruct is a multimodal large language model fine-tuned on the SafeRLHF dataset, focusing on visual question answering tasks with an emphasis on safety.
Text-to-Image
Safetensors
 EnglishOpen Source License:Apache-2.0#Safe-aligned Visual Question Answering#Multimodal Instruction Fine-tuning#RLHF Safety Enhancement
Downloads 1,630
Release Time : 12/16/2024

Model Overview

This model combines visual and language processing capabilities, enabling it to understand and answer image-related questions while prioritizing the generation of safe and reliable responses.

Model Features

Multimodal Capability
Combines visual and language processing to understand and answer image-related questions.
Safety Optimization
Fine-tuned on the SafeRLHF dataset to prioritize safety and reliability in generated responses.
Large Language Model Foundation
Built on the Qwen2-VL-7B architecture, featuring robust language understanding and generation capabilities.

Model Capabilities

Visual Question Answering
Image Understanding
Text Generation
Multimodal Reasoning

Use Cases

Education
Image-based Q&A Assistance
Helps students understand image content and answer related questions.
Improves learning efficiency and comprehension.
Security Monitoring
Image Content Analysis
Analyzes surveillance images and answers security-related questions.
Enhances automation in security monitoring.
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