Calculate memory usage for LLM models
Browse and evaluate ML tasks in MLIP Arena
Launch web-based model application
Visualize model performance on function calling tasks
Merge Lora adapters with a base model
Compare code model performance on benchmarks
Browse and filter machine learning models by category and modality
Calculate survival probability based on passenger details
Download a TriplaneGaussian model checkpoint
Display leaderboard of language model evaluations
Explore and submit models using the LLM Leaderboard
Benchmark LLMs in accuracy and translation across languages
Request model evaluation on COCO val 2017 dataset
Llm Memory Requirement is a tool designed to calculate and benchmark memory usage for Large Language Models (LLMs). It helps users understand the memory demands of different LLMs, enabling informed decisions for model deployment and optimization.
• Memory Calculation: Accurately computes memory usage for various LLM configurations.
• Model Optimization: Provides recommendations to reduce memory consumption.
• Benchmarking: Comparisons across different LLMs for performance evaluation.
• Cross-Compatibility: Supports multiple frameworks and hardware setups.
• User-Friendly Interface: Simplifies complex memory analysis for ease of use.
What is the purpose of Llm Memory Requirement?
Llm Memory Requirement helps users understand and optimize memory usage for Large Language Models, ensuring efficient deployment.
How do I input model parameters?
Parameters like model size, architecture, and precision can be inputted through the tool's interface or via command-line arguments.
Can the tool work with any LLM?
Yes, it supports most modern LLMs and frameworks, including popular ones like Transformers and Megatron.