Track, rank and evaluate open LLMs and chatbots
Compare different tokenizers in char-level and byte-level.
Determine emotion from text
Choose to summarize text or answer questions from context
Extract... key phrases from text
Convert files to Markdown format
Classify patent abstracts into subsectors
Compare LLMs by role stability
Load documents and answer questions from them
Aligns the tokens of two sentences
This is for learning purpose, don't take it seriously :)
Display and filter LLM benchmark results
Learning Python w/ Mates
The Open LLM Leaderboard is a tool designed to track, rank, and evaluate open-source Large Language Models (LLMs) and chatbots. It provides a comprehensive platform for comparing and analyzing the performance of various models using standardized benchmarks. The leaderboard is community-driven, emphasizing transparency and accessibility for researchers, developers, and enthusiasts.
• Real-Time Tracking: Continuously updated rankings of open-source LLMs based on performance metrics.
• Benchmark Comparisons: Evaluate models across diverse tasks and datasets to understand their strengths and weaknesses.
• Performance Ranking: Sort models by specific capabilities, such as text generation, conversational tasks, or code understanding.
• Model Comparison: Directly compare two or more models to see differences in performance.
• Transparency: Access detailed benchmark results, model configurations, and evaluation methodologies.
• Customizable Filters: Narrow down models by parameters like size, architecture, or training data.
• Community Contributions: Submit your own model or benchmark for inclusion in the leaderboard.
What types of models are included on the Open LLM Leaderboard?
The leaderboard includes a wide range of open-source LLMs and chatbots, from small-scale models to state-of-the-art architectures.
How often are the rankings updated?
Rankings are updated regularly as new models and benchmark results are submitted to the platform.
Can I contribute my own model to the leaderboard?
Yes, the Open LLM Leaderboard encourages community contributions. Submit your model or benchmark results through the platform's submission process.