Explore model lineage and popularity on the Hugging Face Hub
Generate leaderboard comparing DNA models
Display leaderboard for earthquake intent classification models
Merge Lora adapters with a base model
Browse and submit model evaluations in LLM benchmarks
Benchmark LLMs in accuracy and translation across languages
Track, rank and evaluate open LLMs and chatbots
Measure execution times of BERT models using WebGPU and WASM
Quantize a model for faster inference
Download a TriplaneGaussian model checkpoint
Run benchmarks on prediction models
Evaluate RAG systems with visual analytics
View and submit LLM benchmark evaluations
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.