Browse and submit LLM evaluations
Browse and filter ML model leaderboard data
Evaluate RAG systems with visual analytics
Display leaderboard of language model evaluations
Rank machines based on LLaMA 7B v2 benchmark results
Compare code model performance on benchmarks
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Explore GenAI model efficiency on ML.ENERGY leaderboard
Request model evaluation on COCO val 2017 dataset
Evaluate model predictions with TruLens
Calculate VRAM requirements for LLM models
View and submit LLM benchmark evaluations
Launch web-based model application
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.