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gdn-hip
pat883/gdn-hip
gdn-hip is a machine learning model from pat883. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for kernels.
Native HIP + rocWMMA kernels for the Gated Delta Net linear-attention path: gdnprefill/decode (+wmma/chunked), causalconv1d, gated RMSNorm, with native backward + differentiable training wrappers.
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At a glance
- Library
- kernels
- Access
- Public
- Created
- Jul 3, 2026
- Updated
- Jul 3, 2026
- SHA
- 07b8af88
Model card
From the Hugging Face model README
GDN-HIP (Gated Delta Net, RDNA4/gfx1201)
Native HIP + rocWMMA kernels for the Gated Delta Net linear-attention path: gdn_prefill/decode (+wmma/chunked), causal_conv1d, gated RMSNorm, with native backward + differentiable training wrappers.
Built with kernel-builder for AMD RDNA4 (gfx1201).
Load with the kernels library:
from kernels import get_kernel
kernel = get_kernel("pat883/gdn-hip")
Requires a ROCm PyTorch build (torch 2.10 / ROCm 7.x) on an RDNA4 card. Built variants:
torch210-cxx11-rocm70andtorch210-cxx11-rocm71.
- Library
- kernels
- Created
- Jul 3, 2026
- Updated
- Jul 3, 2026