tzh699/GujinBridge-Qwen3-1.7B-DPO
GujinBridge-Qwen3-1.7B-DPO by tzh699 is a 2 billion parameter Qwen3-1.7B model specifically adapted for classical Chinese language tasks, including translation to modern Chinese, modern-to-classical rewriting, and classical Chinese punctuation. It leverages a DPO (Direct Preference Optimization) fine-tuning approach, building upon an SFT (Supervised Fine-Tuning) base. This model excels in specialized classical Chinese processing, making it ideal for applications requiring accurate interpretation and manipulation of ancient texts.
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GujinBridge-Qwen3-1.7B-DPO Overview
GujinBridge-Qwen3-1.7B-DPO is a 2 billion parameter language model developed by tzh699, built upon the Qwen3-1.7B architecture. It is specifically fine-tuned for tasks involving classical Chinese, including translation from classical to modern Chinese, rewriting modern Chinese into classical style, and classical Chinese punctuation. The model's development involved a multi-stage process: Qwen3-1.7B -> GujinBridge V5 LoRA SFT -> GujinBridge DPO V1, with the DPO checkpoint selected for its performance.
Key Capabilities
- Classical Chinese Translation: Translates classical Chinese texts into modern Chinese.
- Modern-to-Classical Rewriting: Converts modern Chinese into classical Chinese style.
- Classical Chinese Punctuation: Accurately punctuates classical Chinese passages.
- Specialized Fine-tuning: Utilizes Direct Preference Optimization (DPO) for enhanced performance in its target domains.
Good For
- Human-assisted Translation: Generating candidate translations and punctuations for classical Chinese.
- Educational Applications: Supporting learning and experimentation with classical Chinese texts.
- Research and Development: Exploring SFT/DPO/GRPO pipelines and demonstrating classical Chinese processing capabilities.
- Textual Analysis: Aiding in the interpretation and manipulation of ancient Chinese literature, with independent verification against primary sources recommended due to inherent limitations.