tellang/yeji-8b-rslora-v7: Korean Fortune-Telling LLM
The tellang/yeji-8b-rslora-v7 is a specialized 8.2 billion parameter large language model developed by tellang, built upon the Qwen3-8B-Base architecture. It has been fine-tuned using RSLoRA (Rank-Stabilized LoRA) with the yeji-fortune-telling-ko-v3 dataset, making it highly proficient in Korean fortune-telling and divination.
Key Capabilities
- Domain Specialization: Expert in four core Korean fortune-telling domains:
- 사주 (Bazi): Traditional Korean four pillars of destiny.
- 서양 점성술 (Western Astrology): Astrological readings.
- 타로 (Tarot): Tarot card interpretations.
- 화투 (Hwatu): Korean flower card divination.
- Base Model: Utilizes the robust Qwen3-8B-Base as its foundation.
- Fine-tuning Method: Employs RSLoRA for efficient and effective domain adaptation.
- Version Stability: Version 7 is designated as the stable and primary model in the YEJI project's 8B series.
Good For
- Specialized Applications: Ideal for applications requiring deep expertise in Korean fortune-telling and divination.
- Cultural Context: Provides culturally relevant and accurate responses within its specialized domains.
- Research and Development: Useful for researchers and developers exploring domain-specific LLM fine-tuning and cultural AI applications.
Limitations
- Domain Specificity: Performance is optimized for Korean fortune-telling; general conversational abilities may be reduced compared to general-purpose LLMs like Qwen3-8B-Instruct.
- Resource Intensive: Requires approximately 16GB of VRAM. Lighter 4B or AWQ quantized versions are available for reduced resource needs.
- Entertainment Purpose: Fortune-telling results are intended for entertainment only and should not be used for critical decision-making.