If you want a utility tool to experiment with different language models and prompts, PROMPTMETHEUS could be the way to go. This one-stop-shop lets you author, test, optimize and deploy one-shot prompts on more than 80 Large Language Models (LLMs) from different providers. It comes with a prompt toolbox, model selection, performance testing, and deployment to custom endpoints, so you can easily integrate with third-party services like Notion, Zapier and Airtable.
Another option is LM Studio, a cross-platform desktop app for experimenting with local and open-source LLMs in a graphical interface. It supports a variety of Hugging Face-compatible models and works offline, offering a simple interface to configure models and run inferences. The app also comes with a model discovery page to find interesting LLMs and a command-line interface tool to manage and debug workflows, available for Mac, Windows and Linux.
If you want a marketplace to explore, OpenRouter is designed to make it easier to find and use different language models. It provides access to a variety of models, a curated app showcase, and tools to compare and optimize model abilities. OpenRouter is good for a wide range of use cases and offers free and paid options, API access and a community approach to model development.
Last, LLM Explorer has a large library of 35,809 open-source LLMs and Small Language Models (SLMs). You can browse and compare models based on parameters, benchmark scores and memory usage. The site is geared for AI enthusiasts, researchers and industry professionals, with categorized lists, benchmarks, analytics and detailed model information to help with selection and deployment.