Explore model lineage and popularity on the Hugging Face Hub
View LLM Performance Leaderboard
Merge Lora adapters with a base model
Visualize model performance on function calling tasks
Explain GPU usage for model training
Benchmark AI models by comparison
Compare LLM performance across benchmarks
Download a TriplaneGaussian model checkpoint
Leaderboard of information retrieval models in French
Multilingual Text Embedding Model Pruner
Evaluate reward models for math reasoning
Submit models for evaluation and view leaderboard
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Base Model Explorer is a tool designed to help users explore, track, and analyze model lineage and popularity on the Hugging Face Hub. It provides insights into how models are connected, their performance benchmarks, and their adoption trends within the AI community. Whether you're a researcher, developer, or AI enthusiast, this tool offers a comprehensive view of the model ecosystem.
What is the main purpose of Base Model Explorer?
The main purpose is to provide insights into model relationships, performance, and popularity, helping users make informed decisions about which models to use or adapt.
How does Base Model Explorer collect its data?
The tool aggregates data from the Hugging Face Hub, including model metadata, benchmark results, and community interactions.
What makes Base Model Explorer unique?
Its ability to track model lineage and visualize relationships between models sets it apart, offering a deeper understanding of the model ecosystem.