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  The source code for this project is licensed under the [Apache 2.0 license](LICENSE). The distribution and use of model weights adhere to their respective licensing agreements.
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  ## Disclaimer
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  JT-Coder is a large language model. While it has undergone rigorous data filtering and training, it may still generate inaccurate, biased, or harmful content. Users are advised to carefully evaluate the model's output and are responsible for any consequences arising from its use.
 
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  The source code for this project is licensed under the [Apache 2.0 license](LICENSE). The distribution and use of model weights adhere to their respective licensing agreements.
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+ ## Acknowledgement
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+ Our work is built upon the shoulders of giants in the open-source community, and we wish to express our profound gratitude.
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+ We extend our sincere thanks to the Qwen Team. Adopting the Qwen2.5 tokenizer provided a robust vocabulary foundation that was crucial for our model's powerful multilingual and coding abilities.
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+ Furthermore, we are deeply indebted to the creators and maintainers of pivotal open-source code datasets, including The Stack v2, Code-Matrix, etc. and the instruction data from projects like Opencoder. Their monumental efforts in collecting, curating, and sharing these vast resources provided the essential raw material for our data-centric framework. This project would not have been possible without their foundational contributions.
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+ We hold the spirit of open collaboration in the highest regard and are proud to contribute back to the community that has enabled our research.
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  ## Disclaimer
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  JT-Coder is a large language model. While it has undergone rigorous data filtering and training, it may still generate inaccurate, biased, or harmful content. Users are advised to carefully evaluate the model's output and are responsible for any consequences arising from its use.