Shypd.aiThe largest open index of AI toolsPai-Megatron-Patch is an open-source deep learning training toolkit that facilitates large-scale training of LLMs and VLMs. Developed by Alibaba Cloud, it offers efficient distributed training and supports various models like Qwen and DeepSeek.
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Pai-Megatron-Patch is an official deep learning training toolkit developed by Alibaba Cloud, designed for the large-scale training and prediction of Large Language Models (LLMs) and Vision-Language Models (VLMs) using the Megatron framework. It addresses the challenge of low training efficiency for models exceeding 10 billion parameters, effectively utilizing GPU computational power. The toolkit supports a wide range of commonly used LLMs, including Llama, Qwen, and DeepSeek, and incorporates accelerating techniques from Megatron-LM. Its design philosophy avoids invasive modifications to Megatron-LM's source code, instead providing expansions and improvements as patches. Key features include support for multiple LLMs, model weight conversion between Huggingface, Megatron, and Transformer Engine, FP8 training acceleration, and rich usage examples for pre-training, fine-tuning, evaluation, inference, and reinforcement learning.
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