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  license: apache-2.0
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  license: apache-2.0
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+ <p align="center">
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+ </p>
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+ <p align="center"><a href="https://github.com/UT-LM/UT-LM">[🏠Homepage]</a> | <a href="https://github.com/UT-LM/UT-LM">[🤖 UniTest using UT-LM]</a> | <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a> | <a href="https://github.com/guoday/assert/blob/main/QR.png?raw=true">[Wechat(微信)]</a> </p>
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+ ### 1. Introduction of Deepseek-Coder-7B-Instruct v1.5
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+ Deepseek-Coder-7B-Instruct-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective, and then fine-tuned on 2B tokens of instruction data.
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+ - **Home Page:** [DeepSeek](https://deepseek.com/)
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+ - **Repository:** [deepseek-ai/deepseek-coder](https://github.com/deepseek-ai/deepseek-coder)
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+ - **Chat With DeepSeek Coder:** [DeepSeek-Coder](https://coder.deepseek.com/)
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+ ### 2. Evaluation Results
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+ <img width="1000px" alt="DeepSeek Coder" src="https://cdn-uploads.huggingface.co/production/uploads/6538815d1bdb3c40db94fbfa/xOtCTW5xdoLCKY4FR6tri.png">
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+ ### 3. License
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+ This code repository is licensed under the MIT License.
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+ The use of UT-LM models is subject to the Model License. UT-LM supports commercial use.
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+ ### 5. Contact
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+ If you have any questions, please raise an issue or contact us at [cuizhe@myhexin.com].