- Trained on a mixture of 2.1k examples, most of which were manually gathered and verified.

- **The model will think much shorter than QWQ and R1 models thanks to brief but high quality SFT dataset.**

- System messages to trigger think tags (which should be placed under "\<start_of_turn\>user"):

"You are an expert assistant. Think using \<think\> tags."

"You are a thinking assistant."

Example:

```
<start_of_turn>user
You are a thinking assistant.
(1,234)² means 1,234 * 1,234; (1,234)³ means 1,234 * 1,234 * 1,234; and so forth. When (1,234)²³ is completely multiplied out, what will the number be in the ones place?
...
```
The model **can** miss the \<think\> tag sometimes. You can add this to template, or try again with a different seed.

The model can also think about an image as well:


![image/png](https://cdn-uploads.huggingface.co/production/uploads/6324eabf05bd8a54c6eb1650/mWJ9WmKzmBD1mEXiUaE_U.png)


![image/png](https://cdn-uploads.huggingface.co/production/uploads/6324eabf05bd8a54c6eb1650/d-VGBpkWZLSLMNpSonOY3.png)