This model is a fine-tuned version of
Qwen/Qwen2.5-1.5B aimed at improving coding capabilities and reasoning traces. It was trained using the
Naholav/CodeGen-Diverse-5K dataset with a focus on structured reasoning using
<think> tags.
The model is designed to generate code solutions given a problem statement. It is specifically trained to output a "thinking" process before the final solution, which helps in complex logical tasks.
1Input: [Your Problem Description]
2<think>
3[Model generates reasoning here]
4</think>
5Solution: [Model generates code here]