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  <img src="https://huggingface.co/datasets/OpenLemur/assets/resolve/main/lemur_icon.png" width="300" height="300" alt="Lemur">
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  </p>
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- ## Model Summary
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- - **Repository:** [OpenLemur/lemur-v1](https://github.com/OpenLemur/lemur-v1)
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- - **Project Website:** [xlang.ai](https://www.xlang.ai/)
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- - **Paper:** [Coming soon](https://www.xlang.ai/)
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- - **Point of Contact:** [mail@xlang.ai](mailto:mail@xlang.ai)
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  ## Use
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  <img src="https://huggingface.co/datasets/OpenLemur/assets/resolve/main/lemur_icon.png" width="300" height="300" alt="Lemur">
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  </p>
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+ Open large language models (LLMs) have traditionally been tailored for either textual or code-related tasks, with limited ability to effectively balance both. However, many complex language applications, particularly language model agents, demand systems with a multifaceted skill set encompassing understanding, reasoning, planning, coding, and context grounding.
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+ In this work, we introduce **Lemur-70B-v1** and **Lemur-70B-chat-v1**, the state-of-the-art open pretrained and supervised fine-tuned large language models balancing text and code intelligence.
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+ <div align="center">
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+ <img src="https://huggingface.co/datasets/OpenLemur/assets/resolve/main/lemur_performance.png">
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+ </div>
 
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  ## Use
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