Optimize and train foundation models using IBM's FMS
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Evaluate open LLMs in the languages of LATAM and Spain.
Generate and view leaderboard for LLM evaluations
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Rank machines based on LLaMA 7B v2 benchmark results
Calculate memory needed to train AI models
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Calculate memory usage for LLM models
Calculate VRAM requirements for LLM models
Leaderboard of information retrieval models in French
README is an essential tool designed to optimize and train foundation models using IBM's Foundation Model Services (FMS). It falls under the category of model benchmarking and is tailored to help users streamline their model training processes. README serves as a comprehensive guide to leveraging IBM's advanced AI model optimization capabilities.
• Model Optimization: Fine-tune your foundation models for specific tasks and datasets.
• Integration with IBM FMS: Seamlessly connect with IBM's powerful AI infrastructure for scalable training.
• Cloud-Based: Operate entirely in the cloud, eliminating the need for local hardware.
• Advanced Benchmarking: Compare and analyze model performance metrics with precision.
• Extensibility: Adapt the tool to suit your unique workflow and project requirements.
What models does README support?
README is optimized for use with IBM's foundation models, including but not limited to their latest AI releases.
How are benchmarking results provided?
Results are delivered as detailed reports, providing metrics such as accuracy, latency, and computational efficiency.
Where can I find additional support?
For further assistance, visit the official IBM FMS documentation or contact their support team directly.