Calculate memory usage for LLM models
Measure over-refusal in LLMs using OR-Bench
Create and manage ML pipelines with ZenML Dashboard
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Submit deepfake detection models for evaluation
Launch web-based model application
Evaluate and submit AI model results for Frugal AI Challenge
Search for model performance across languages and benchmarks
Export Hugging Face models to ONNX
Visualize model performance on function calling tasks
Generate and view leaderboard for LLM evaluations
View and submit LLM benchmark evaluations
View RL Benchmark Reports
Llm Memory Requirement is a tool designed to calculate and benchmark the memory usage of large language models (LLMs). It helps users understand the memory requirements for running LLMs, ensuring optimal performance and efficient resource allocation. This tool is particularly useful for developers, researchers, and organizations deploying LLMs in various applications.
What is the purpose of Llm Memory Requirement?
Llm Memory Requirement helps users understand and optimize the memory usage of large language models, ensuring efficient resource utilization and performance.
How do I interpret the memory usage reports?
The reports provide detailed insights into memory consumption, including peak usage and allocation patterns. Use these insights to identify bottlenecks and apply optimizations.
Can Llm Memory Requirement work with any LLM framework?
Yes, the tool is designed to support multiple LLM architectures and frameworks, making it versatile for different use cases.