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license: apache-2.0 |
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# Tibetan-Alpaca-7B |
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**This is the full Tibetan-Alpaca-7B model，which can be loaded directly for inference and full-parameter training.** |
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**Related models👇** |
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* Base models |
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* [Tibetan-Llama2-7B](https://huggingface.co/ymaoj/Tibetan-Llama2-7b) |
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* [Tibetan-Llama2-13B](https://huggingface.co/ymaoj/Tibetan-Llama2-13b) |
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* Instruction/Chat models |
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* [Tibetan-Alpaca-7B](https://huggingface.co/ymaoj/Tibetan-Alpaca-7b) |
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* [Tibetan-Alpaca-13B](https://huggingface.co/ymaoj/Tibetan-Alpaca-13b) |
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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. |
