LLM Comparison Backend
The LLM Comparison Backend is an open-source project designed to facilitate the head-to-head comparison of two Large Language Models (LLMs) using a specified prompt. This project focuses on the backend infrastructure, allowing for seamless integration of various LLM APIs into the frontend.
Key Features:
- Head-to-Head Comparison: Compare two LLMs directly with a given prompt.
- API Integration: Easily incorporate different LLM APIs for flexible usage.
- Modal Services: Utilizes Modal for serverless GPU deployment, simplifying the setup and management of environments.
- GGUF Converter: Convert models to GGUF format with support for large models and parallel downloads.
- Collaboration: Open for contributions, allowing developers to enhance the project.
Benefits:
- Open Source: Freely available for developers to use and modify.
- Community Driven: Encourages collaboration and contributions from the developer community.
- Comprehensive Documentation: Provides detailed instructions for setup, deployment, and contribution.
Highlights:
- Supports large models (>10GB) with efficient storage and retrieval.
- Features like progress tracking and two-step conversion for optimized performance.
- Actively seeking to integrate more models, including Anthropic models, with community support.
