65 billion parameters, 8 GPUs can fine-tune all parameters: Qiu Xipeng's team has lowered the threshold of large models - Code World

65 billion parameters, 8 GPUs can fine-tune all parameters: Qiu Xipeng's team has lowered the threshold of large models

Enterprise 2023-07-01 08:10:57 views: null

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Origin blog.csdn.net/lqfarmer/article/details/131482736

65 billion parameters, 8 GPUs can fine-tune all parameters: Qiu Xipeng's team has lowered the threshold of large models

65 billion parameters, 8 GPUs can fine-tune: Qiu Xipeng's team has lowered the threshold of large models

With 65 billion parameters, 8 GPUs can fine-tune the parameters of the large model. The latest paper of Qiu Xipeng's team is here!

Fudan Qiu Xipeng's new work: single-machine fine-tuning of a large model with 65 billion parameters, industry insiders: it is of great significance to the popularization of large models...

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

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Transfer learning, fine-tune the parameters and local recovery

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Large model-fine-tuning technology: unified framework (unified Adapter-Tuning, Prefix-Tuning, LoRA) [freeze large model parameters, fine-tune the newly inserted parameter layer]

Introduction to LLaMA: An introduction to the official website of a large-scale language model with 65 billion parameters

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CV opens the era of large models! Google released the largest ViT in history with 22 billion parameters, and its visual perception is close to that of humans

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Tsinghua Tang Jie's new work WebGLM, 10 billion parameters can be connected to the Internet

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Tencent Tang Daosheng: With over 100 billion parameters and over 2 trillion tokens, Tencent’s Hunyuan large model is fully open to the industry

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