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README.md

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+# Foundation Model Stack
+
+Foundation Model Stack (fms) is a collection of components for development, inference, training, and tuning of foundation models leveraging PyTorch native components. 
+For inference optimizations we aim to support PyTorch compile, accelerated transformers, and tensor parallelism. 
+At training time we aim to support FSDP, accelerated transformers, and PyTorch compile.
+
+Foundation Model Stack is split up into a few main repositories:
+
+- [foundation-model-stack](https://github.com/foundation-model-stack/foundation-model-stack): Main repository for which all fms models are based. Contains the main building blocks for using foundation-models.
+- [fms-fsdp](https://github.com/foundation-model-stack/fms-fsdp): Pre-Training Examples using FSDP wrapped foundation models
+- [fms-extras](https://github.com/foundation-model-stack/fms-extras): New features staged to be integrated with foundation-model-stack
+- [fms-hf-tuning](https://github.com/foundation-model-stack/fms-hf-tuning): Basic Tuning scripts for fms models leveraging SFTTrainer