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| NVIDIA NeMo Framework Developer Docs | |
| ==================================== | |
| NVIDIA NeMo Framework is an end-to-end, cloud-native framework designed to build, customize, and deploy generative AI models anywhere. | |
| `NVIDIA NeMo Framework <https://github.com/NVIDIA/NeMo>`_ supports large-scale training features, including: | |
| - Mixed Precision Training | |
| - Parallelism | |
| - Distributed Optimizer | |
| - Fully Sharded Data Parallel (FSDP) | |
| - Flash Attention | |
| - Activation Recomputation | |
| - Positional Embeddings and Positional Interpolation | |
| - Post-Training Quantization (PTQ) and Quantization Aware Training (QAT) with `TensorRT Model Optimizer <https://github.com/NVIDIA/TensorRT-Model-Optimizer>`_ | |
| - Knowledge Distillation-based training with `TensorRT Model Optimizer <https://github.com/NVIDIA/TensorRT-Model-Optimizer>`_ | |
| - Sequence Packing | |
| `NVIDIA NeMo Framework <https://github.com/NVIDIA/NeMo>`_ has separate collections for: | |
| * :doc:`Large Language Models (LLMs) <nlp/nemo_megatron/intro>` | |
| * :doc:`Automatic Speech Recognition (ASR) <asr/intro>` | |
| * :doc:`Text-to-Speech (TTS) <tts/intro>` | |
| Each collection consists of prebuilt modules that include everything needed to train on your data. | |
| Every module can easily be customized, extended, and composed to create new generative AI | |
| model architectures. | |
| For quick guides and tutorials, see the "Getting started" section below. | |
| .. toctree:: | |
| :maxdepth: 2 | |
| :caption: Getting Started | |
| :name: starthere | |
| :titlesonly: | |
| starthere/intro | |
| starthere/fundamentals | |
| starthere/tutorials | |
| For more information, browse the developer docs for your area of interest in the contents section below or on the left sidebar. | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :caption: Key Optimizations | |
| :name: Key Optimizations | |
| features/mixed_precision | |
| features/parallelisms | |
| features/moe | |
| features/optimizations/index | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :caption: Model Checkpoints | |
| :name: Checkpoints | |
| checkpoints/intro | |
| .. toctree:: | |
| :maxdepth: 2 | |
| :caption: Evaluation | |
| :name: evaluation | |
| :titlesonly: | |
| evaluation/evaluation-doc | |
| evaluation/evaluation-adapters | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :caption: APIs | |
| :name: APIs | |
| :titlesonly: | |
| apis | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :caption: Collections | |
| :name: Collections | |
| :titlesonly: | |
| collections | |
| .. toctree:: | |
| :maxdepth: 1 | |
| :caption: Speech AI Tools | |
| :name: Speech AI Tools | |
| :titlesonly: | |
| tools/intro | |