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3440524
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Update app.py

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  1. app.py +4 -4
app.py CHANGED
@@ -28,11 +28,11 @@ DESCRIPTION = """
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  </p>
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- Taiwan-LLaMa is a fine-tuned model specifically designed for traditional Chinese applications. It is built upon the LLaMa 2 architecture and includes a pretraining phase with over 5 billion tokens and fine-tuning with over 490k multi-turn conversational data in Traditional Chinese.
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  ## Key Features
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- 1. **Traditional Chinese Support**: The model is fine-tuned to understand and generate text in Traditional Chinese, making it suitable for Taiwanese culture and related applications.
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  2. **Instruction-Tuned**: Further fine-tuned on conversational data to offer context-aware and instruction-following responses.
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@@ -46,11 +46,11 @@ Different versions of Taiwan-LLaMa are available:
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  - **Taiwan-LLaMa v1.0 (This demo)**: Optimized for Taiwanese Culture
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  - **Taiwan-LLaMa v0.9**: Partial instruction set
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- - **Taiwan-LLaMa v0.0**: No Traditional Chinese pretraining
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  The models can be accessed from the provided links in the Hugging Face repository.
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- Try out the demo to interact with Taiwan-LLaMa and experience its capabilities in handling Traditional Chinese!
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  """
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  LICENSE = """
 
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  </p>
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+ Taiwan-LLaMa is a fine-tuned model specifically designed for traditional mandarin applications. It is built upon the LLaMa 2 architecture and includes a pretraining phase with over 5 billion tokens and fine-tuning with over 490k multi-turn conversational data in Traditional Mandarin.
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  ## Key Features
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+ 1. **Traditional Mandarin Support**: The model is fine-tuned to understand and generate text in Traditional Mandarin, making it suitable for Taiwanese culture and related applications.
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  2. **Instruction-Tuned**: Further fine-tuned on conversational data to offer context-aware and instruction-following responses.
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  - **Taiwan-LLaMa v1.0 (This demo)**: Optimized for Taiwanese Culture
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  - **Taiwan-LLaMa v0.9**: Partial instruction set
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+ - **Taiwan-LLaMa v0.0**: No Traditional Mandarin pretraining
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  The models can be accessed from the provided links in the Hugging Face repository.
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+ Try out the demo to interact with Taiwan-LLaMa and experience its capabilities in handling Traditional Mandarin!
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  """
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  LICENSE = """