Find and download models from Hugging Face
Track, rank and evaluate open LLMs and chatbots
Explore and submit models using the LLM Leaderboard
Convert PaddleOCR models to ONNX format
Browse and filter ML model leaderboard data
Calculate GPU requirements for running LLMs
View RL Benchmark Reports
Explore and benchmark visual document retrieval models
Quantize a model for faster inference
Evaluate open LLMs in the languages of LATAM and Spain.
View and submit LLM evaluations
Convert Hugging Face models to OpenVINO format
Evaluate LLM over-refusal rates with OR-Bench
Hf Model Downloads is a tool designed to help users find and download models from the Hugging Face ecosystem. It serves as a convenient gateway to access a wide range of pre-trained models, enabling developers to integrate these models into their projects seamlessly. Whether you're working on NLP, computer vision, or other AI-related tasks, this tool streamlines the process of model discovery and deployment.
How do I use Hf Model Downloads?
Hf Model Downloads allows you to search, filter, and download models from the Hugging Face ecosystem. Simply access the tool, search or browse for the model you need, and follow the provided instructions to download and integrate it.
Are the models compatible with my framework?
Yes, Hf Model Downloads supports a wide range of frameworks and libraries, including PyTorch, TensorFlow, and others. Use the filtering options to select models compatible with your preferred framework.
How can I find the best-performing model for my task?
Use the benchmarking feature to compare model performance on specific tasks or datasets. You can also sort models by metrics to identify top-performing options for your use case.