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FMS Model Optimizer is a framework for developing reduced precision neural network models.
๐ Collection of tuning recipes with HuggingFace SFTTrainer and PyTorch FSDP.
๐ Collection of libraries used with fms-hf-tuning to accelerate fine-tuning and training of large models.
Tests/Scripts for use with foundation-model-stack models running on AIU
๐ Guardrails orchestration server for application of various detections on text generation input and output.
๐ Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
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