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
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Model tree for onnx-community/Kevin-32B-ONNX
Base model
Qwen/Qwen2.5-32B
Finetuned
Qwen/QwQ-32B
Finetuned
cognition-ai/Kevin-32B
Quantized
Prince-1/Kevin-32B-ONNX