Determine GPU requirements for large language models
Create demo spaces for models on Hugging Face
View RL Benchmark Reports
Visualize model performance on function calling tasks
Convert Stable Diffusion checkpoint to Diffusers and open a PR
View and submit machine learning model evaluations
Calculate GPU requirements for running LLMs
Browse and submit evaluations for CaselawQA benchmarks
Optimize and train foundation models using IBM's FMS
Submit deepfake detection models for evaluation
GIFT-Eval: A Benchmark for General Time Series Forecasting
Convert and upload model files for Stable Diffusion
Benchmark LLMs in accuracy and translation across languages
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.