Determine GPU requirements for large language models
Browse and filter ML model leaderboard data
Evaluate RAG systems with visual analytics
View and submit LLM benchmark evaluations
Explore and submit models using the LLM Leaderboard
Convert Stable Diffusion checkpoint to Diffusers and open a PR
View NSQL Scores for Models
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Generate and view leaderboard for LLM evaluations
Explore GenAI model efficiency on ML.ENERGY leaderboard
Merge Lora adapters with a base model
Display and submit LLM benchmarks
Optimize and train foundation models using IBM's FMS
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.