Browse and submit LLM evaluations
Multilingual Text Embedding Model Pruner
Calculate GPU requirements for running LLMs
SolidityBench Leaderboard
Upload a machine learning model to Hugging Face Hub
Calculate VRAM requirements for LLM models
Convert Hugging Face model repo to Safetensors
Compare and rank LLMs using benchmark scores
Explore and benchmark visual document retrieval models
Predict customer churn based on input details
Explore and submit models using the LLM Leaderboard
Open Persian LLM Leaderboard
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.