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@@ -420,6 +420,7 @@
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- [Megatron-DeepSpeed](https://github.com/microsoft/Megatron-DeepSpeed) - DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others.
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- [Megatron-DeepSpeed](https://github.com/microsoft/Megatron-DeepSpeed) - DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others.
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- [torchtune](https://github.com/pytorch/torchtune) - A Native-PyTorch Library for LLM Fine-tuning.
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- [torchtune](https://github.com/pytorch/torchtune) - A Native-PyTorch Library for LLM Fine-tuning.
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+ - [ROLL](https://github.com/alibaba/ROLL) - An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models.
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- [veRL](https://github.com/volcengine/verl) - veRL is a flexible and efficient RL framework for LLMs.
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- [veRL](https://github.com/volcengine/verl) - veRL is a flexible and efficient RL framework for LLMs.
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- [NeMo Framework](https://github.com/NVIDIA/NeMo) - Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.
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- [NeMo Framework](https://github.com/NVIDIA/NeMo) - Generative AI framework built for researchers and PyTorch developers working on Large Language Models (LLMs), Multimodal Models (MMs), Automatic Speech Recognition (ASR), Text to Speech (TTS), and Computer Vision (CV) domains.
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- [Colossal-AI](https://github.com/hpcaitech/ColossalAI) - Making large AI models cheaper, faster, and more accessible.
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- [Colossal-AI](https://github.com/hpcaitech/ColossalAI) - Making large AI models cheaper, faster, and more accessible.
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Weixun Wang