shenzhi-wang
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README.md
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> [!CAUTION]
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> For optimal performance, we refrain from fine-tuning the model's identity. Thus, inquiries such as "Who are you" or "Who developed you" may yield random responses that are not necessarily accurate.
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# Updates
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1. Download our GGUF models from the [gguf_models folder](https://huggingface.co/shenzhi-wang/Llama3.1-70B-Chinese-Chat/tree/main/gguf);
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2. Use the GGUF models with [LM Studio](https://lmstudio.ai/);
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3. You can also follow the instructions from https://github.com/ggerganov/llama.cpp/tree/master#usage to use gguf models.
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> [!CAUTION]
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> For optimal performance, we refrain from fine-tuning the model's identity. Thus, inquiries such as "Who are you" or "Who developed you" may yield random responses that are not necessarily accurate.
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> [!IMPORTANT]
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> If you enjoy our model, please **give it a star on our Hugging Face repo** and and kindly [**cite our model**](https://huggingface.co/shenzhi-wang/Llama3.1-70B-Chinese-Chat#citation). Your support means a lot to us. Thank you!
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# Updates
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1. Download our GGUF models from the [gguf_models folder](https://huggingface.co/shenzhi-wang/Llama3.1-70B-Chinese-Chat/tree/main/gguf);
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2. Use the GGUF models with [LM Studio](https://lmstudio.ai/);
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3. You can also follow the instructions from https://github.com/ggerganov/llama.cpp/tree/master#usage to use gguf models.
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# Citation
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If our Llama3.1-70B-Chinese-Chat is helpful, please kindly cite as:
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```
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@misc {shenzhi_wang_2024,
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author = { Wang, Shenzhi and Zheng, Yaowei and Wang, Guoyin and Song, Shiji and Huang, Gao },
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title = { Llama3.1-70B-Chinese-Chat },
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year = 2024,
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url = { https://huggingface.co/shenzhi-wang/Llama3.1-70B-Chinese-Chat },
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doi = { 10.57967/hf/2780 },
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publisher = { Hugging Face }
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}
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```
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