Compare and rank LLMs using benchmark scores
Measure BERT model performance using WASM and WebGPU
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Push a ML model to Hugging Face Hub
Track, rank and evaluate open LLMs and chatbots
Multilingual Text Embedding Model Pruner
Browse and evaluate ML tasks in MLIP Arena
Merge machine learning models using a YAML configuration file
Benchmark models using PyTorch and OpenVINO
Compare code model performance on benchmarks
View and submit LLM benchmark evaluations
Browse and filter machine learning models by category and modality
Leaderboard of information retrieval models in French
Guerra LLM AI Leaderboard is a comprehensive tool designed to compare and rank large language models (LLMs) based on their performance on benchmark tasks. It provides a detailed overview of how different models perform across various criteria, enabling users to make informed decisions about which models to use for specific applications. The leaderboard is a valuable resource for researchers, developers, and AI enthusiasts looking to evaluate the capabilities of cutting-edge AI models.
What makes Guerra LLM AI Leaderboard unique?
Guerra LLM AI Leaderboard stands out for its comprehensive benchmarking approach, providing a detailed and transparent comparison of LLMs across multiple tasks and datasets.
How often is the leaderboard updated?
The leaderboard is updated regularly to reflect the latest advancements in LLM technology and new benchmark results.
Can I filter models based on specific criteria?
Yes, users can filter models by attributes such as model size, architecture, and vendor to find the most relevant models for their needs.