Browse and submit LLM evaluations
Browse and evaluate ML tasks in MLIP Arena
Browse and submit model evaluations in LLM benchmarks
Benchmark models using PyTorch and OpenVINO
Measure BERT model performance using WASM and WebGPU
Push a ML model to Hugging Face Hub
Convert Hugging Face models to OpenVINO format
View and submit LLM benchmark evaluations
Convert Hugging Face model repo to Safetensors
Quantize a model for faster inference
Upload a machine learning model to Hugging Face Hub
Create demo spaces for models on Hugging Face
Multilingual Text Embedding Model Pruner
The Open Medical-LLM Leaderboard is a comprehensive platform designed for benchmarking and comparing large language models (LLMs) specifically tailored for medical and healthcare applications. It provides a centralized hub where users can browse, evaluate, and submit their own model evaluations, fostering transparency and collaboration in the development of AI for medical use cases.
What types of medical applications are supported?
The Open Medical-LLM Leaderboard supports a wide range of medical applications, including clinical text analysis, medical question answering, and healthcare document summarization.
How do I submit my own model evaluation?
To submit your model evaluation, follow these steps:
Is the leaderboard open to non-experts?
Yes, the leaderboard is designed to be accessible to both experts and non-experts. Researchers, developers, and healthcare professionals can all benefit from the platform's resources and tools.