ZAYA-CCA (Convolutional Attention, RDNA4/gfx1201)

Native HIP kernels for ZAYA convolutional attention: conv-state decode, decode-qk, and variable-length prefill-qk.

Built with kernel-builder for AMD RDNA4 (gfx1201). Load with the kernels library:

from kernels import get_kernel
kernel = get_kernel("pat883/zaya-cca")

Requires a ROCm PyTorch build (torch 2.10 / ROCm 7.x) on an RDNA4 card. Built variants: torch210-cxx11-rocm70 and torch210-cxx11-rocm71.

Downloads last month
16
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support