Explore model lineage and popularity on the Hugging Face Hub
Evaluate code generation with diverse feedback types
Track, rank and evaluate open LLMs and chatbots
Track, rank and evaluate open LLMs and chatbots
Merge Lora adapters with a base model
Convert PyTorch models to waifu2x-ios format
Measure execution times of BERT models using WebGPU and WASM
View and compare language model evaluations
Convert Hugging Face models to OpenVINO format
Browse and filter ML model leaderboard data
View NSQL Scores for Models
Persian Text Embedding Benchmark
Explore GenAI model efficiency on ML.ENERGY leaderboard
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.