---
library_name: transformers
tags:
- llama-factory
license: apache-2.0
datasets:
- kxdw2580/catgirl-dataset
language:
- zh
base_model:
- Qwen/Qwen3-1.7B
---

# kxdw2580/Qwen3-1.7B-catgirl-v2.5

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**.

📊 You can view the [fine-tuning log](https://swanlab.cn/@shadow01a/qwen-catgirl/runs/0b5ukye60jr62j0qzlcyo/chart) on **SwanLab**.

---

## Evaluation

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