| 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"/> | |