Calculate GPU requirements for running LLMs
View and submit LLM evaluations
Launch web-based model application
Download a TriplaneGaussian model checkpoint
Track, rank and evaluate open LLMs and chatbots
Display leaderboard of language model evaluations
Measure BERT model performance using WASM and WebGPU
Merge Lora adapters with a base model
Benchmark AI models by comparison
Display LLM benchmark leaderboard and info
Evaluate open LLMs in the languages of LATAM and Spain.
View LLM Performance Leaderboard
Browse and filter ML model leaderboard data
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.