If you want a single tool to search and manage open-source language models, LLM Explorer is a great option. The site indexes more than 35,000 models, with filters for parameters like size, benchmark scores and memory usage. You can compare models side by side, and the site offers details like code generation abilities and licensing terms. It's geared for AI enthusiasts, researchers and industry professionals who need to quickly find the right models for their projects.
Another interesting project is Meta Llama, which offers a variety of large language models for programming, translation and dialogue generation. The project includes Meta Llama 3, Meta Code Llama and Meta Llama Guard, with a range of sizes for different tasks. The models are designed to scale and come with broad-use licenses, so they can be used for both research and commercial projects. The community approach helps ensure responsible development and collaboration.
For developers who want to fine-tune and serve LLMs, Predibase is a powerful option. It supports a broad range of models and offers serving infrastructure costing less to operate, free serverless inference and enterprise-level security. Predibase lets you fine-tune models for specific tasks like classification and code generation, so it's a good option for a wide range of use cases.
Last, Langfuse is an open-source platform for debugging, analyzing and iterating on LLM applications. It offers features like tracing, prompt management and detailed analytics. Langfuse supports integration with several SDKs and frameworks, so it's a good option for developers trying to optimize and improve their LLM applications.