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

Safetensors

Model size

4.98B params

Tensor type

F16

I16

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