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README.md
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This repository contains a Llama-13B model fine-tuned with QLoRA (Quantization Low-Rank Adapter) adapters. The adapter is a plug-and-play tool that enables the LLaMa model to perform well in many Vietnamese NLP tasks.
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## Model Overview
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The Vietnamese Llama2-13b model is a large language model capable of generating meaningful text and can be used in a wide variety of natural language processing tasks, including text generation, sentiment analysis, and more. By using LoRA adapters, the model achieves better performance on low-resource tasks and demonstrates improved generalization.
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## Conclusion
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The Vietnamese Llama2-13b with LoRA adapters is a versatile language model that can be utilized for a wide range of NLP tasks in Vietnamese. We hope that researchers and developers find this model useful and are encouraged to experiment with it in their projects.
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For any questions, feedback, or contributions, please feel free to contact the maintainers of this repository TranNhiem 🙌: [Linkedin](https://www.linkedin.com/in/tran-nhiem-ab1851125/) [Twitter](https://twitter.com/TranRick2) [Facebook](https://www.facebook.com/jean.tran.336), Project [Discord]
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This repository contains a Llama-13B model fine-tuned with QLoRA (Quantization Low-Rank Adapter) adapters. The adapter is a plug-and-play tool that enables the LLaMa model to perform well in many Vietnamese NLP tasks.
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Project Github page: [Github](https://github.com/VietnamAIHub/Vietnamese_LLMs)
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## Model Overview
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The Vietnamese Llama2-13b model is a large language model capable of generating meaningful text and can be used in a wide variety of natural language processing tasks, including text generation, sentiment analysis, and more. By using LoRA adapters, the model achieves better performance on low-resource tasks and demonstrates improved generalization.
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## Conclusion
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The Vietnamese Llama2-13b with LoRA adapters is a versatile language model that can be utilized for a wide range of NLP tasks in Vietnamese. We hope that researchers and developers find this model useful and are encouraged to experiment with it in their projects.
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For any questions, feedback, or contributions, please feel free to contact the maintainers of this repository TranNhiem 🙌: [Linkedin](https://www.linkedin.com/in/tran-nhiem-ab1851125/) [Twitter](https://twitter.com/TranRick2) [Facebook](https://www.facebook.com/jean.tran.336), Project [Discord](https://discord.gg/MC3yDZNz). Happy fine-tuning and experimenting with the Llama-30b model!
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