Browse and submit LLM evaluations
Convert and upload model files for Stable Diffusion
Compare code model performance on benchmarks
Request model evaluation on COCO val 2017 dataset
Determine GPU requirements for large language models
Display LLM benchmark leaderboard and info
Run benchmarks on prediction models
Benchmark AI models by comparison
Evaluate adversarial robustness using generative models
Find and download models from Hugging Face
Merge machine learning models using a YAML configuration file
Track, rank and evaluate open LLMs and chatbots
Display and submit LLM benchmarks
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.