Find recent high-liked Hugging Face models
Evaluate reward models for math reasoning
Browse and submit LLM evaluations
Evaluate code generation with diverse feedback types
Display leaderboard of language model evaluations
View and submit language model evaluations
Browse and filter ML model leaderboard data
Request model evaluation on COCO val 2017 dataset
Display model benchmark results
Merge machine learning models using a YAML configuration file
Retrain models for new data at edge devices
Display benchmark results
Persian Text Embedding Benchmark
Model Drops Tracker is a tool designed to help users track and discover recent high-liked Hugging Face models. It simplifies the process of staying updated with the latest models in the machine learning community, focusing on models that have gained significant popularity or traction.
What models are included in Model Drops Tracker?
Model Drops Tracker focuses on models from the Hugging Face Model Hub, particularly those that have received high likes or engagement within the community.
How often is the model list updated?
The list is updated in real-time to reflect the latest models and their popularity rankings.
Can I use Model Drops Tracker for commercial purposes?
Yes, Model Drops Tracker is designed to be used by researchers, developers, and businesses alike, with a focus on open-source accessibility.