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README.md

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 ## Abouts
 In this repository, we present GENERator, a generative genomic foundation model featuring a context length of 98k base pairs and 3B parameters, trained on an expansive dataset comprising 386 billion base pairs of eukaryotic DNA. The extensive and diverse pre-training data endow the GENERator with enhanced understanding and generation capabilities across various organisms.
 
-For more technical details, please refer to our paper [GENERator: A Long-Context Generative Genomic Foundation Model](https://huggingface.co/papers/2502.07272).
+For more technical details, please refer to our paper [GENERator: A Long-Context Generative Genomic Foundation Model](https://arxiv.org/abs/2502.07272). The code and implementation details are available on Github: [https://github.com/GenerTeam/GENERator](https://github.com/GenerTeam/GENERator).
 
-Code: https://github.com/GenerTeam/GENERator
 
 ## How to use
 ### Simple example1:  generation