gemma-2-2b-it-chinese-kyara-dpo
| Property | Value |
|---|---|
| Parameter Count | 2.61B |
| Model Type | Text Generation |
| Base Model | google/gemma-2-2b-it |
| License | Gemma |
| Languages | Chinese, English |
What is gemma-2-2b-it-chinese-kyara-dpo?
Kyara (Knowledge Yielding Adaptive Retrieval Augmentation) is an experimental fine-tuned version of Gemma-2-2b designed to enhance language comprehension and knowledge retrieval, particularly for Traditional Chinese. The model implements Direct Preference Optimization (DPO) and has been trained on 3.6M conversations containing approximately 4.51 billion tokens.
Implementation Details
The model uses a sophisticated training approach combining supervised fine-tuning with preference learning. It incorporates knowledge retrieval capabilities through a specialized RAG system and employs multiple datasets for both Chinese and English language training.
- Utilizes both SFT and DPO training approaches
- Implements wear leveling and bad block management techniques
- Features knowledge injection through retrieval augmentation
- Supports both Traditional and Simplified Chinese
Core Capabilities
- Strong performance on TMMLUPlus benchmark (41.98%)
- Enhanced mathematical reasoning abilities
- Sophisticated knowledge retrieval system
- Multi-language support with focus on Chinese
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized knowledge retrieval system combined with preference learning, making it particularly effective for Chinese language tasks while maintaining strong performance in both Chinese and English.
Q: What are the recommended use cases?
The model excels in knowledge-intensive tasks, mathematical reasoning, and general language understanding in both Chinese and English. It's particularly well-suited for applications requiring sophisticated knowledge retrieval and bilingual capabilities.
