---
base_model:
- Qwen/QwQ-32B
---
## Kevin-32B
Kevin (K(ernel D)evin) is a 32B parameter model finetuned to write efficient CUDA kernels.

We use KernelBench as our benchmark, and train the model through multi-turn reinforcement learning.

For the details, see our blogpost at **https://cognition.ai/blog/kevin-32b**

<img src="https://cdn-uploads.huggingface.co/production/uploads/6490673eb67028b2aa2a6f9f/pjVt_KrR6aWCuWb4GcZuW.png" width="600"/>