The data is sourced from HuggingFace and various public git repositories. The explorer also allows users to suggest improvements, making it a collaborative platform. The article also provides a detailed explanation of each table header for better understanding of the provided data.
Key takeaways:
- The LLM Explorer provides a comprehensive list of over 16,000 Large Language Models (LLMs) along with their parameters.
- Each model is detailed with information such as its name, size, whether it's quantized or not, its rank on the HuggingFace Leaderboard, number of likes and downloads, maintainer, license, supported languages, and more.
- The platform allows users to suggest improvements, ensuring the data stays up-to-date and accurate.
- The original data is sourced from HuggingFace and various public git repositories, ensuring a wide range of models are included.