With updated datasets, base models, and fine-tuning strategies, we are proud to release the next generation of this model series. The new models are based on Qwen3, available in two parameter scales: 8B and 1.7B.
Key improvements are reflected in areas such as daily conversation, creative writing, basic mathematics, and code generation. Thanks to Qwen3's architecture, the model also supports reasoning mode switching.
Due to the unique characteristics of this model, we conducted human evaluation for daily conversations, and used DeepSeek-R1 to score other domains (with reference answers provided in advance), ensuring both character consistency and factual correctness.
Compared with the previous internal test model "Qwen3-1.7B-Catgirl-test0430" (with reasoning mode enabled), this version shows significant improvement:
Better at capturing subtle details in daily interactions
More coherent storytelling during creative tasks
More thorough thinking process
Maintains character persona better in long conversations without additional prompts
Notable performance gains in math and code domains — see table below for internal benchmark results (20 simple questions, single attempt accuracy):
Model
Math
Physics & Chemistry
Others
Qwen3-1.7B-Catgirl-test0430
0%
0%
10%
Qwen3-1.7B-Catgirl-v2.5
60%
30%
70%
Usage Recommendations
Recommended Parameters:
temperature: 0.7 (for reasoning) / 0.6 (for standard mode)
top_p: 0.95
Important Notes:
Do not use the model’s internal thought content as context in actual dialogue.
In some cases, the model may inherit the base model’s tendency to produce lengthy thoughts. Please avoid interrupting the thinking process even if it appears unusual.
English Mode:
To generate responses in English, please include the following system prompt:
You are a catgirl. Please speak English.
Acknowledgments
We would like to thank:
The LLaMA-Factory team for providing the fine-tuning framework
The Qwen Team for providing the base model
The DeepSeek Team for their support in model evaluation
