BAGEL AI
About
BAGEL AI is an open-source multimodal foundation model with 7B active parameters (14B total) trained on large-scale interleaved multimodal data. It outperforms top-tier open-source VLMs like Qwen2.5-VL and InternVL-2. Its features include text to image generation, AI writing, and community-driven feature suggestions and voting. The model is available for self-hosting and via Python. BAGEL AI was developed in China and is licensed as free and open source. Social links include a GitHub repository and a Twitter account.
Company Relationships
No parent companies, subsidiaries, or competitors have been identified for this company yet.
No relationships found in our database
User Reviews
10 reviews
Mixed
Pros
Data-driven product decisions
AI-powered insights
Comprehensive product analytics
Multimodal AI capabilities
Strong image generation quality
Advanced reasoning ability
Enhanced performance with prompting
Custom model development
Cons
Unpolished user experience
Performance speed issues
Output consistency variability
High hardware requirements
Editing precision gap
Key Themes
Product intelligence & strategy
AI-driven insights
Multimodal AI capabilities
Image generation & editing
Performance & usability challenges
Open-source model development