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docs/source/advanced_apis/post_training/huggingface.md

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 # HuggingFace SFTTrainer
 
 [HuggingFace SFTTrainer](https://huggingface.co/docs/trl/en/sft_trainer) is an inline post training provider for Llama Stack. It allows you to run supervised fine tuning on a variety of models using many datasets

docs/source/advanced_apis/post_training/index.md

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 # Post_Training Providers
 
 This section contains documentation for all available providers for the **post_training** API.

docs/source/advanced_apis/post_training/inline_huggingface.md

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 # inline::huggingface
 
 ## Description

docs/source/advanced_apis/post_training/inline_torchtune.md

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 # inline::torchtune
 
 ## Description

docs/source/advanced_apis/post_training/nvidia_nemo.md

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 # NVIDIA NEMO
 
 [NVIDIA NEMO](https://developer.nvidia.com/nemo-framework) is a remote post training provider for Llama Stack. It provides enterprise-grade fine-tuning capabilities through NVIDIA's NeMo Customizer service.

docs/source/advanced_apis/post_training/remote_nvidia.md

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 # remote::nvidia
 
 ## Description

docs/source/advanced_apis/post_training/torchtune.md

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 # TorchTune
 
 [TorchTune](https://github.com/pytorch/torchtune) is an inline post training provider for Llama Stack. It provides a simple and efficient way to fine-tune language models using PyTorch.