Determine GPU requirements for large language models
Push a ML model to Hugging Face Hub
View and submit machine learning model evaluations
Browse and submit model evaluations in LLM benchmarks
Convert and upload model files for Stable Diffusion
Create and manage ML pipelines with ZenML Dashboard
Calculate memory usage for LLM models
Compare code model performance on benchmarks
Evaluate AI-generated results for accuracy
Generate and view leaderboard for LLM evaluations
View RL Benchmark Reports
Calculate GPU requirements for running LLMs
Evaluate open LLMs in the languages of LATAM and Spain.
Can You Run It? LLM version is a specialized tool designed to help users determine the GPU requirements for running large language models (LLMs). It provides detailed insights into whether your hardware can support specific AI models, ensuring optimal performance and compatibility.
• GPU Compatibility Check: Quickly determine if your GPU can run popular LLMs.
• Performance Prediction: Estimate inference speed and memory usage for different models.
• Customizable Settings: Adjust parameters like batch size and sequence length to match your workflow.
• Benchmarking: Compare your GPU's performance against others in similar setups.
• Model Compatibility: Check support for the latest LLMs, including those from major frameworks.
• AI-Powered Recommendations: Get suggestions for upgrading or optimizing your hardware.
What GPUs are supported by Can You Run It? LLM version?
The tool supports a wide range of NVIDIA and AMD GPUs, with regular updates to include the latest models.
Is the performance prediction accurate?
The predictions are based on extensive benchmarks and real-world data, ensuring high accuracy for typical use cases.
Can I use this tool for models outside the supported list?
While the tool is optimized for popular LLMs, you can input custom model specifications for compatibility checks. Results may vary.