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  # Llama-3-Cantonese-8B-Instruct
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- ## Model Overview
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  Llama-3-Cantonese-8B-Instruct is a Cantonese language model based on Meta-Llama-3-8B-Instruct, fine-tuned using LoRA. It aims to enhance Cantonese text generation and comprehension capabilities, supporting various tasks such as dialogue generation, text summarization, and question-answering.
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- ## Model Features
 
 
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  - **Base Model**: Meta-Llama-3-8B-Instruct
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  - **Fine-tuning Method**: LoRA instruction tuning
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  - **Training Steps**: 4562 steps
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- - **Primary Language**: Cantonese
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  - **Datasets**:
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  - [jed351/cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia)
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  - [lordjia/Cantonese_English_Translation](https://huggingface.co/datasets/lordjia/Cantonese_English_Translation)
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  - **Training Tools**: [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
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- ## Usage
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  You can easily load and use this model with Hugging Face's Transformers library. Here is a simple example:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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- ## Quantized Version
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  A 4-bit quantized version of this model is also available: [llama3-cantonese-8b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct/blob/main/llama3-cantonese-8b-instruct-q4_0.gguf).
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- ## Alternative Model Recommendation
 
 
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  For an alternative, consider [Qwen2-Cantonese-7B-Instruct](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct), also fine-tuned by LordJia and based on Qwen2-7B-Instruct.
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- ## License
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- This model is licensed under the Llama 3 Community License. Please review the terms before use.
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- ## Contributors
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- - LordJia [https://ai.chao.cool](https://ai.chao.cool/)
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- ## Acknowledgements
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- Thanks to Hugging Face for providing the platform and tools, and to all the developers and researchers contributing to the open-source community.
 
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  # Llama-3-Cantonese-8B-Instruct
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+ ## Model Overview / 模型概述
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  Llama-3-Cantonese-8B-Instruct is a Cantonese language model based on Meta-Llama-3-8B-Instruct, fine-tuned using LoRA. It aims to enhance Cantonese text generation and comprehension capabilities, supporting various tasks such as dialogue generation, text summarization, and question-answering.
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+ Llama-3-Cantonese-8B-Instruct係基於Meta-Llama-3-8B-Struct嘅粵語語言模型,使用LoRA進行微調。 它旨在提高粵語文本的生成和理解能力,支持各種任務,如對話生成、文本摘要和問答。
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+
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+ ## Model Features / 模型特性
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  - **Base Model**: Meta-Llama-3-8B-Instruct
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  - **Fine-tuning Method**: LoRA instruction tuning
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  - **Training Steps**: 4562 steps
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+ - **Primary Language**: Cantonese / 粵語
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  - **Datasets**:
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  - [jed351/cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia)
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  - [lordjia/Cantonese_English_Translation](https://huggingface.co/datasets/lordjia/Cantonese_English_Translation)
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  - **Training Tools**: [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
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+ ## Usage / 用法
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  You can easily load and use this model with Hugging Face's Transformers library. Here is a simple example:
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+ 你可以輕鬆地將此模型與Hugging Face嘅Transformers庫一起使用。 下面係一個簡單嘅示例:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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+ ## Quantized Version / 量化版本
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  A 4-bit quantized version of this model is also available: [llama3-cantonese-8b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct/blob/main/llama3-cantonese-8b-instruct-q4_0.gguf).
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+ 此模型的4位量化版本也可用:[llama3-cantonese-8b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct/blob/main/llama3-cantonese-8b-instruct-q4_0.gguf)。
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+
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+ ## Alternative Model Recommendation / 備選模型舉薦
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  For an alternative, consider [Qwen2-Cantonese-7B-Instruct](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct), also fine-tuned by LordJia and based on Qwen2-7B-Instruct.
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+ 對於替代方案,請考慮[Qwen2-Cantonese-7B-Instruct](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct),同樣由LordJia微調並基於Qwen2-7B-Instruct。
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+ ## License / 許可證
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+ This model is licensed under the Llama 3 Community License. Please review the terms before use.
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+ 此模型根據Llama 3社區許可證獲得許可。 請在使用前仔細閱讀呢啲條款。
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+ ## Contributors / 貢獻
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+ - LordJia [https://ai.chao.cool](https://ai.chao.cool/)