• Bagel AI is an open-source platform aimed at democratizing access to large language models (LLMs).
• The platform emphasizes transparency, customization, and developer empowerment.
• Users can run, fine-tune, and deploy LLMs on personal hardware or in the cloud.
• Features an intuitive interface and modular backend.
• Supports a variety of open-weight models, including LLaMA, Mistral, and Mixtral.
• Suitable for researchers, developers, and enterprises looking for privacy-focused, cost-effective AI solutions.
• Offers RESTful APIs, GPU compatibility, multilingual model support, and community-driven development.
• Provides comprehensive documentation to facilitate integration and experimentation.
Supports open-weight LLMs like LLaMA and Mistral
Run models locally or in the cloud
RESTful API for seamless integration
Custom fine-tuning and training support
Modular architecture for flexibility
Community-driven development and updates
Cross-platform compatibility with Docker support
Multilingual and multi-model capabilities
Built-in GPU acceleration support
Open documentation and active contributor network
What is Bagel AI?
Bagel AI is an open-source platform to run and customize large language models like LLaMA and Mistral.
Can I run Bagel AI on my local machine?
Yes, Bagel AI supports local deployment with Docker and GPU acceleration.
Which models are compatible with Bagel AI?
It supports a variety of open-weight models including LLaMA, Mistral, and more.
Is Bagel AI suitable for enterprise use?
Yes, enterprises can use it for secure, private LLM deployment and fine-tuning.
Is Bagel AI free to use?
Yes, Bagel AI is entirely open-source and free to use and contribute to.