Haven provides tools for building specialized large language models, focusing on fine-tuning and evaluation. It targets users who need to customize LLMs for specific tasks, offering a UI-driven approach to streamline the process and gain insights into model performance.

How It Works

Haven facilitates LLM fine-tuning through a user interface, simplifying the process for users. The platform emphasizes evaluation, allowing users to compare models against various metrics and visualize experiment results for performance analysis. The project acknowledges data collection as a significant challenge and plans to address it in future iterations.

Quick Start & Requirements

• Self-hosting instructions and cloud support (AWS, GCP, Azure) are forthcoming.
• Users can currently try the hosted application at https://app.haven.run/models.
• Official documentation is available at https://docs.haven.run/.

Highlighted Details

• Focus on simplifying LLM fine-tuning via a UI.
• Emphasis on robust model evaluation and comparison.
• Future plans include data collection tools and enhanced visualization.

Maintenance & Community

• Community engagement is encouraged via Discord: https://discord.gg/JDjbfp6q2G.
• Direct contact options include email and scheduled calls for feedback and suggestions.

Licensing & Compatibility

• The repository's license is not specified in the provided README.

Limitations & Caveats

Self-hosting and cloud deployment options are not yet available, requiring users to rely on the hosted application for immediate use. Data collection features are still under development.