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  license: apache-2.0
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  # Tibetan-Llama2-7B
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  **This is the full Tibetan-Llama2-7B model,which can be loaded directly for inference and full-parameter training.**
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  # Description of Tibetan-Llama2-Alpaca
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- This project is based on the Llama2, We open-source Tibetan Llama2 (foundation model) and Alpaca (instruction-following model). These models have been expanded and optimized with Tibetan vocabulary beyond the original Llama2.
 
 
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  The main contents of this project include:
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- * 🚀 New extended Tibetan vocabulary beyond Llama2, open-sourcing the Tibetan Llama2 and Alpaca LLMs.
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- * 🚀 Quickly deploy and experience the quantized LLMs on CPU/GPU of personal PC
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  * 🚀 Support for Llama ecosystems like 🤗transformers, Llama.cpp, text-generation-webui, LangChain, vLLM etc.
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  Please refer to [https://github.com/ymaoj/Tibetan-LLAMA2-Tibetan-Alpaca/](https://github.com/ymaoj/Tibetan-LLAMA2-Tibetan-Alpaca/) for details.
 
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  license: apache-2.0
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  ---
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  # Tibetan-Llama2-7B
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  **This is the full Tibetan-Llama2-7B model,which can be loaded directly for inference and full-parameter training.**
 
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  # Description of Tibetan-Llama2-Alpaca
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+ This project is based on Llama2, and we open-source Tibetan-Llama2 (foundation model) and Tibetan-Alpaca (instruction-following model). These models have been expanded and optimized with Tibetan vocabulary, surpassing the original Llama-2. We utilized a considerable amount of Tibetan data for incremental pre-training, which further enhanced the fundamental semantic understanding of the Tibetan language. The relevant models support a 4K context and can be expanded up to 18K+ using the NTK method.
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  The main contents of this project include:
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+ * 🚀 New extended Tibetan vocabulary beyond Llama2, open-sourcing the Tibetan-Llama2 and Tibetan-Alpaca LLMs.
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+ * 🚀 Quickly deploy and experience the quantized LLMs on CPU/GPU of personal PC.
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  * 🚀 Support for Llama ecosystems like 🤗transformers, Llama.cpp, text-generation-webui, LangChain, vLLM etc.
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  Please refer to [https://github.com/ymaoj/Tibetan-LLAMA2-Tibetan-Alpaca/](https://github.com/ymaoj/Tibetan-LLAMA2-Tibetan-Alpaca/) for details.