steven0226/llama-3.1-8b-taiwan-chat

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 11, 2026License:llama3.1Architecture:Transformer Featherless Exclusive Cold

The steven0226/llama-3.1-8b-taiwan-chat is an 8 billion parameter language model, fine-tuned from Meta-Llama-3.1-8B-Instruct using QLoRA on a subset of the TaiwanChat dataset. This model is specifically optimized to enhance fluency and localization in Traditional Chinese, particularly for Taiwanese linguistic nuances. It offers improved performance in generating responses with a natural Taiwanese語感, making it suitable for applications requiring culturally specific Traditional Chinese output.

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Model Overview

steven0226/llama-3.1-8b-taiwan-chat is an 8 billion parameter language model, fine-tuned from Meta-Llama-3.1-8B-Instruct. The primary goal of this fine-tuning was to significantly improve the model's fluency and localization for Traditional Chinese, specifically with a Taiwanese linguistic style.

Key Capabilities & Features

  • Taiwanese Traditional Chinese Fluency: Enhanced ability to generate text that reflects natural Taiwanese language usage and cultural context.
  • QLoRA Fine-tuning: Utilizes QLoRA (4-bit NF4 loading) on a subset of the yentinglin/TaiwanChat dataset, focusing on assistant responses for loss computation.
  • Full FP16 Merged Weights: The model is provided as a complete FP16 merged model, ready for direct use with transformers.
  • Base Model: Built upon the robust Meta-Llama-3.1-8B-Instruct architecture.

Use Cases & Considerations

This model is particularly well-suited for applications requiring culturally specific and localized Traditional Chinese output for Taiwan. The provided examples demonstrate its improved ability to handle Taiwanese-specific queries, such as local food recommendations, mobile plan comparisons, and cultural explanations, compared to the base model.

Limitations: Users should be aware that the model's factual content (e.g., telecom rates, specific store details) might be outdated or subject to hallucination, and it should not be used as a definitive information retrieval tool. Occasional remnants of Simplified Chinese or English may appear due to the training data. The model's safety alignment is consistent with the base Llama 3.1 model. It is released under the Llama 3.1 Community License and is for research/non-commercial use only due to the CC BY-NC 4.0 license of the TaiwanChat dataset.

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