Optimize and train foundation models using IBM's FMS
Benchmark LLMs in accuracy and translation across languages
GIFT-Eval: A Benchmark for General Time Series Forecasting
Browse and submit model evaluations in LLM benchmarks
SolidityBench Leaderboard
Calculate GPU requirements for running LLMs
Find and download models from Hugging Face
Browse and submit evaluations for CaselawQA benchmarks
Calculate survival probability based on passenger details
Download a TriplaneGaussian model checkpoint
Evaluate code generation with diverse feedback types
Visualize model performance on function calling tasks
Track, rank and evaluate open LLMs and chatbots
README is a tool designed to help users optimize and train foundation models using IBM's Foundation Model Services (FMS). It provides a streamlined approach to benchmarking, optimizing, and deploying models efficiently.
• Model Benchmarking: Compare performance across different foundation models. • Optimization: Use IBM's FMS to fine-tune models for specific tasks. • Scalability: Handles large-scale datasets and complex training workloads. • Integration: Seamless integration with IBM's ecosystem of AI tools. • Analytics: Gain insights into model performance with detailed metrics.
What is IBM's Foundation Model Services (FMS)?
IBM's FMS is a suite of tools designed to help developers train, deploy, and manage foundation models at scale.
Can I use README with any foundation model?
README is optimized for use with models supported by IBM's FMS. Check compatibility before use.
Do I need special hardware to run README?
README is designed to run on standard computing environments but may benefit from GPU acceleration for faster training and benchmarking.