Determine GPU requirements for large language models
Compare audio representation models using benchmark results
Request model evaluation on COCO val 2017 dataset
Convert PyTorch models to waifu2x-ios format
Merge Lora adapters with a base model
Calculate memory needed to train AI models
Submit deepfake detection models for evaluation
Display LLM benchmark leaderboard and info
GIFT-Eval: A Benchmark for General Time Series Forecasting
Analyze model errors with interactive pages
Teach, test, evaluate language models with MTEB Arena
Evaluate open LLMs in the languages of LATAM and Spain.
Calculate GPU requirements for running LLMs
Can You Run It? LLM version is a specialized tool designed to determine the GPU requirements for running large language models. It helps users understand whether their hardware can support modern AI models, ensuring compatibility and optimal performance.
• GPU Compatibility Check: Verifies if your system's GPU can run large language models.
• Model Requirements Analysis: Provides detailed specifications for various LLMs, including memory and compute needs.
• Hardware Recommendations: Offers suggestions for upgrading or optimizing your system for better performance.
• Cross-Platform Support: Compatible with multiple operating systems and hardware configurations.
• Real-Time Benchmarking: Allows users to test their system's performance against AI workloads.
What is the purpose of Can You Run It? LLM version?
It helps users determine if their hardware can run modern large language models and suggests improvements if necessary.
Is Can You Run It? LLM version free to use?
Yes, the tool is free for personal use, though some advanced features may require a premium license.
Can the tool work on both Windows and macOS?
Yes, it supports multiple platforms, including Windows, macOS, and Linux.