Optimize and train foundation models using IBM's FMS
Calculate GPU requirements for running LLMs
Evaluate open LLMs in the languages of LATAM and Spain.
Calculate VRAM requirements for LLM models
Submit models for evaluation and view leaderboard
View and submit LLM benchmark evaluations
View NSQL Scores for Models
Compare audio representation models using benchmark results
Display leaderboard of language model evaluations
Download a TriplaneGaussian model checkpoint
Calculate memory needed to train AI models
Benchmark LLMs in accuracy and translation across languages
Quantize a model for faster inference
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.