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

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

Enterprise 2023-06-25 11:36:37 views: null

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Origin blog.csdn.net/CV_Autobot/article/details/131368826

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 +

Use Transformers' Trainer to fine-tune pre-trained large models in PyTorch

A large model with 7 billion parameters running on the iPhone, the latest achievement from Chen Tianqi's team

I installed a large model with 7 billion parameters on the iPhone, the latest achievement from Chen Tianqi's team

The new work of Chen Danqi's team: A single card A100 can train 30 billion parameter models!

65 billion parameters, training soared by 38%! The best practice of LLaMA basic large model reproduction is open source, and GitHub has won 30k stars

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

[GPT] Can you refine GPT with a small budget? Let's train/fine-tune medium-sized GPT together

GPT-4 parameters latest revelation 1.76 trillion parameters, 8 220 billion MoE models, convinced

Baichuan releases 53 billion large models, incorporating search capabilities: the first time testing experience has come

Transfer learning, fine-tune the parameters and local recovery

Pytorch fixed parameters-model pretrain and fine-tune

Exclusive | When to fine-tune a large language model?

Chen Danqi's team proposed MeZO, a low-memory and efficient zero-order optimizer, and a single-card A100 can train 30 billion parameter models

Google Internal Documents Leaked! Neither Google nor OpenAI has a moat, and the threshold of large models is being broken by open source!

Jupyter has been greatly upgraded, can interact with large models, and has been open source

What should I do if the knowledge of the large model is Out? The Zhejiang University team explored the method of updating the parameters of large models—model editing

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

Use peft's lora to fine-tune MAE

Revealing how NVIDIA A100, A800, H100, and H800 GPUs can achieve 100-fold training acceleration for high-performance large models

A conversation between me and the large model of Wenxin Qianfan: How to fine-tune the large model?

3.6 trillion tokens, 340 billion parameters, details of Google's large model PaLM 2 exposed

65 Milliarden Parameter, 8 GPUs können alle Parameter feinabstimmen: Das Team von Qiu Xipeng hat die Schwelle großer Modelle gesenkt

Kunlun Wanwei's open source "Tiangong" 13B series large models are available for commercial use with zero threshold

How to fine-tune the large medical model llm: llama2 study notes

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