| Welcome to Megatron-LLM's documentation! | |
| ======================================== | |
| .. image:: imgs/llama-falcon.png | |
| The `Megatron-LLM <https://github.com/epfLLM/Megatron-LLM/>`_ library enables pre-training and fine-tuning of large language models (LLMs) at scale. | |
| Our repository is a modification of the `original Megatron-LM codebase <https://github.com/NVIDIA/Megatron-LM>`_ by Nvidia. | |
| Added key features include: | |
| - `LLaMa <https://arxiv.org/abs/2302.13971>`_, `LLaMa 2 <https://arxiv.org/abs/2307.09288>`_, `Falcon <https://huggingface.co/tiiuae>`_, and `Code Llama <https://together.ai/blog/llama-2-7b-32k>`_ support. | |
| - support training of large models (70B Llama 2, 65B Llama 1, 34B Code Llama, and 40B Falcon) on commodity hardware on multiple nodes | |
| - 3-way parallelism: tensor parallel, pipeline parallel and data parallel training (inherited from Megatron) | |
| - full pretraining, finetuning and instruct tuning support | |
| - Support for special tokens & tokenizers | |
| - grouped-query attention (GQA) and multi-query attention (MQA) | |
| - Rotary Position Embeddings (RoPE), RMS layer norm, Lima dropout | |
| - `ROPE scaling <https://together.ai/blog/llama-2-7b-32k>`_ for longer attention context support | |
| - FlashAttention 2 | |
| - BF16 / FP16 training | |
| - WandB integration | |
| - Metrics support: Ease to add custom metrics to evaluate on the validation set while training | |
| - Conversion to and from Hugging Face hub | |
| Example models trained with `Megatron-LLM <https://github.com/epfLLM/Megatron-LLM/>`_: See `README <https://github.com/epfLLM/Megatron-LLM/>`_. | |
| User guide | |
| ---------- | |
| For information on installation and usage, take a look at our user guide. | |
| .. toctree:: | |
| :maxdepth: 2 | |
| guide/index | |
| API | |
| --- | |
| Detailed information about Megatron-LLM components: | |
| .. toctree:: | |
| :maxdepth: 2 | |
| api/index | |
| Citation | |
| -------- | |
| If you use this software please cite it: | |
| .. code-block:: bib | |
| @software{epfmgtrn, | |
| author = {Alejandro Hernández Cano and | |
| Matteo Pagliardini and | |
| Andreas Köpf and | |
| Kyle Matoba and | |
| Amirkeivan Mohtashami and | |
| Olivia Simin Fan and | |
| Axel Marmet and | |
| Deniz Bayazit and | |
| Igor Krawczuk and | |
| Zeming Chen and | |
| Francesco Salvi and | |
| Antoine Bosselut and | |
| Martin Jaggi}, | |
| title = {epfLLM Megatron-LM}, | |
| year = 2023, | |
| url = {https://github.com/epfLLM/Megatron-LLM} | |
| } | |