Compare and rank LLMs using benchmark scores
Evaluate model predictions with TruLens
Submit deepfake detection models for evaluation
Merge machine learning models using a YAML configuration file
Quantize a model for faster inference
Search for model performance across languages and benchmarks
Rank machines based on LLaMA 7B v2 benchmark results
Multilingual Text Embedding Model Pruner
Request model evaluation on COCO val 2017 dataset
Teach, test, evaluate language models with MTEB Arena
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Convert Hugging Face model repo to Safetensors
Track, rank and evaluate open LLMs and chatbots
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.