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Yukang
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Llama-2-70b-longlora-32k

Text Generation
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llama
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- [![Gradio](https://img.shields.io/badge/Gradio-Online%20Demo-blue)](https://b3cfcf9e79ff42df5f.gradio.live)
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  # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
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- <font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> | <a href="https://b3cfcf9e79ff42df5f.gradio.live">**Demo**</a></div></font>
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  **LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models [[Paper](http://arxiv.org/abs/2309.12307)]** <br />
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  [Yukang Chen](https://scholar.google.com/citations?user=6p0ygKUAAAAJ&hl=en),
 
 
 
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  # LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
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+ <font size=6><div align='center' > <a href=http://arxiv.org/abs/2309.12307>**Paper**</a> | <a href="https://huggingface.co/Yukang">**Models**</a> | <a href="https://github.com/dvlab-research/LongLoRA">**Code**</a> </div></font>
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  **LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models [[Paper](http://arxiv.org/abs/2309.12307)]** <br />
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  [Yukang Chen](https://scholar.google.com/citations?user=6p0ygKUAAAAJ&hl=en),