Determine GPU requirements for large language models
Evaluate AI-generated results for accuracy
Calculate memory needed to train AI models
Calculate memory usage for LLM models
Benchmark models using PyTorch and OpenVINO
Benchmark AI models by comparison
View RL Benchmark Reports
Quantize a model for faster inference
Export Hugging Face models to ONNX
Benchmark LLMs in accuracy and translation across languages
Browse and evaluate ML tasks in MLIP Arena
Upload ML model to Hugging Face Hub
Download a TriplaneGaussian model checkpoint
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.