W4A8-FP8 WMMA Dense + MoE GEMM (RDNA4/gfx1200+gfx1201)
W4A8-FP8 WMMA dense GEMM and MoE GEMM (fat binary for gfx1200 + gfx1201).
Built with kernel-builder for AMD RDNA4 (gfx1201).
Load with the kernels library:
from kernels import get_kernel
kernel = get_kernel("pat883/w4a8-fp8-wmma")
Requires a ROCm PyTorch build (torch 2.10 / ROCm 7.x) on an RDNA4 card. Built variants:
torch210-cxx11-rocm70andtorch210-cxx11-rocm71.
- Downloads last month
- 21
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support