Determine GPU requirements for large language models
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Measure BERT model performance using WASM and WebGPU
View LLM Performance Leaderboard
Display model benchmark results
Explore GenAI model efficiency on ML.ENERGY leaderboard
Rank machines based on LLaMA 7B v2 benchmark results
Convert and upload model files for Stable Diffusion
Generate leaderboard comparing DNA models
Measure over-refusal in LLMs using OR-Bench
Convert Hugging Face model repo to Safetensors
View and submit language model evaluations
View NSQL Scores for Models
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.