Find recent high-liked Hugging Face models
Generate leaderboard comparing DNA models
Launch web-based model application
Request model evaluation on COCO val 2017 dataset
Quantize a model for faster inference
Compare LLM performance across benchmarks
Multilingual Text Embedding Model Pruner
Browse and filter machine learning models by category and modality
Text-To-Speech (TTS) Evaluation using objective metrics.
Generate and view leaderboard for LLM evaluations
Track, rank and evaluate open LLMs and chatbots
Explain GPU usage for model training
Browse and submit model evaluations in LLM benchmarks
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.