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@ -1909,6 +1909,8 @@ python llmexport.py --path /path/to/模型路径/ --export mnn --hqq --dst_path
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* [@Nijikadesu](https://github.com/Nijikadesu):[🔗以交互笔记本方式分解项目代码](https://github.com/jingyaogong/minimind/issues/213)
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* [@Nijikadesu](https://github.com/Nijikadesu):[🔗以交互笔记本方式分解项目代码](https://github.com/jingyaogong/minimind/issues/213)
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* [@jaylearnstocode](https://github.com/jaylearnstocode):[🔗模型结构、注意力机制与训练流程可视化](https://llm-visualization-minimind.vercel.app/)
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致谢以下优秀的论文与项目:
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致谢以下优秀的论文与项目:
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@ -1909,6 +1909,8 @@ Thanks to the following contributors for sharing training notes, data processing
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* [@Nijikadesu](https://github.com/Nijikadesu): [🔗Breaking Down Project Code in Interactive Notebook Format](https://github.com/jingyaogong/minimind/issues/213)
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* [@Nijikadesu](https://github.com/Nijikadesu): [🔗Breaking Down Project Code in Interactive Notebook Format](https://github.com/jingyaogong/minimind/issues/213)
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* [@jaylearnstocode](https://github.com/jaylearnstocode): [🔗Visualization of Model Architecture, Attention Mechanisms, and Training Pipelines](https://llm-visualization-minimind.vercel.app/)
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Thanks also to the following papers and projects:
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Thanks also to the following papers and projects:
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@ -23,10 +23,10 @@ jinja2==3.1.2
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jsonlines==4.0.0
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jsonlines==4.0.0
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trl==0.13.0
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trl==0.13.0
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ujson==5.1.0
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ujson==5.1.0
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wandb==0.18.3
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wandb==0.22.3
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streamlit==1.50.0
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streamlit==1.50.0
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einops==0.8.1
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einops==0.8.1
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swanlab==0.7.11
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swanlab==0.9.8
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modelscope==1.37.0
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modelscope==1.37.0
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# torch==2.6.0
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# torch==2.6.0
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# torchvision==0.21.0
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# torchvision==0.21.0
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