llm-comparison-backend

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.