Browse and submit LLM evaluations
Submit models for evaluation and view leaderboard
Measure over-refusal in LLMs using OR-Bench
Evaluate code generation with diverse feedback types
Measure BERT model performance using WASM and WebGPU
Create demo spaces for models on Hugging Face
Evaluate open LLMs in the languages of LATAM and Spain.
Run benchmarks on prediction models
Convert and upload model files for Stable Diffusion
Request model evaluation on COCO val 2017 dataset
Benchmark models using PyTorch and OpenVINO
Analyze model errors with interactive pages
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
The Open Tw Llm Leaderboard is a platform designed for model benchmarking, specifically for Large Language Models (LLMs). It serves as a centralized hub where users can browse and submit evaluations of different LLMs. The tool provides a comparative analysis of various models, highlighting their strengths and weaknesses. This leaderboard is particularly useful for researchers, developers, and enthusiasts looking to understand the performance of different LLMs across various tasks and datasets.
What is the purpose of Open Tw Llm Leaderboard? The purpose is to provide a centralized platform for comparing and analyzing the performance of different Large Language Models.
How do I submit an evaluation to the leaderboard? Submissions can be made by following the guidelines provided on the platform, typically involving providing detailed metrics and results from your evaluation.
Do I need to register to use the leaderboard? No, browsing the leaderboard is generally accessible without registration. However, submitting an evaluation may require creating an account.