diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index ead7ff0..10242cf 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -44,7 +44,7 @@ jobs:
           # manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
           os: [ubuntu-20.04]
           python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
-          torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0']
+          torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1']
           cuda-version: ['11.8.0', '12.3.2']
           # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
           # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
@@ -118,8 +118,8 @@ jobs:
           # see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
           # This code is ugly, maybe there's a better way to do this.
           export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
-            minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118}[env['MATRIX_TORCH_VERSION']]; \
-            maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 121}[env['MATRIX_TORCH_VERSION']]; \
+            minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118, '2.5': 118}[env['MATRIX_TORCH_VERSION']]; \
+            maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124, '2.5': 124}[env['MATRIX_TORCH_VERSION']]; \
             print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
           )
           if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then