Calculate GPU requirements for running LLMs
Create demo spaces for models on Hugging Face
Evaluate adversarial robustness using generative models
View NSQL Scores for Models
Run benchmarks on prediction models
Browse and submit model evaluations in LLM benchmarks
Display benchmark results
Merge machine learning models using a YAML configuration file
Search for model performance across languages and benchmarks
GIFT-Eval: A Benchmark for General Time Series Forecasting
View and submit LLM benchmark evaluations
Find recent high-liked Hugging Face models
Compare and rank LLMs using benchmark scores
Can You Run It? LLM version is a specialized tool designed to calculate GPU requirements for running large language models (LLMs). It helps users determine whether their hardware is capable of running specific LLMs efficiently. This tool is particularly useful for developers, researchers, and enthusiasts who work with AI models and need to ensure optimal performance.
• GPU Requirements Calculator: Determines the minimum GPU specifications needed to run a given LLM.
• Model Benchmarking: Provides performance benchmarks for various LLMs on different hardware configurations.
• Cost Estimator: Estimates the cost of running an LLM based on cloud or local hardware setups.
• Multi-Framework Support: Compatible with popular LLM frameworks such as TensorFlow, PyTorch, and ONNX.
• Quick Results: Generates instant analysis and recommendations based on the selected model and hardware.
What models does Can You Run It? LLM version support?
The tool supports a wide range of LLMs, including popular models like GPT, T5, and BERT, among others.
How accurate is the GPU requirements calculation?
The calculation is based on benchmark data and real-world performance metrics, ensuring high accuracy for typical use cases.
Can I use this tool for cloud-based solutions?
Yes, the tool also provides estimates for cloud-based setups, helping users choose the most cost-effective options for running LLMs.