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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
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+# Tibetan-Alpaca-13B
+
+**This is the full Tibetan-Alpaca-13B model，which can be loaded directly for inference and full-parameter training.**
+
+**Related models👇**
+
+* Base models
+  * [Tibetan-Llama2-7B](https://huggingface.co/ymaoj/Tibetan-Llama2-7b)
+  * [Tibetan-Llama2-13B](https://huggingface.co/ymaoj/Tibetan-Llama2-13b)
+* Instruction/Chat models
+  * [Tibetan-Alpaca-7B](https://huggingface.co/ymaoj/Tibetan-Alpaca-7b)
+  * [Tibetan-Alpaca-13B](https://huggingface.co/ymaoj/Tibetan-Alpaca-13b)
+
+
+# Description of Tibetan-Llama2-Alpaca
+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.
+
+
+The main contents of this project include:
+
+* 🚀 New extended Tibetan vocabulary beyond Llama2, open-sourcing the Tibetan-Llama2 and Tibetan-Alpaca LLMs.
+* 🚀 Quickly deploy and experience the quantized LLMs on CPU/GPU of personal PC.
+* 🚀 Support for Llama ecosystems like 🤗transformers, Llama.cpp, text-generation-webui, LangChain, vLLM etc.
+
+Please refer to [https://github.com/ymaoj/Tibetan-Llama2-Tibetan-Alpaca/](https://github.com/ymaoj/Tibetan-Llama2-Tibetan-Alpaca/) for details.