update setuptools so trl can be installed from main for nightlies (#3471)

* update setuptools so trl can be installed from main for nightlies

* run the nightly in the PR CI on change

* use range request, don't use cu129 in CI since it's not supported with AO

* run multigpu ci if CCE install script changes

.github/workflows/multi-gpu-e2e.yml

@@ -8,6 +8,7 @@ on:
       - 'setup.py'
       - 'pyproject.toml'
       - '.github/workflows/multi-gpu-e2e.yml'
+      - 'scripts/cutcrossentropy_install.py'
       - 'src/axolotl/core/trainers/mixins/sequence_parallel.py'
       - 'src/axolotl/utils/distributed.py'
   workflow_dispatch:
@@ -35,13 +36,13 @@ jobs:
             pytorch: 2.8.0
             axolotl_extras: fbgemm-gpu
             num_gpus: 2
-          - cuda: 129
+#          - cuda: 129
-            cuda_version: 12.9.1
+#            cuda_version: 12.9.1
-            python_version: "3.12"
+#            python_version: "3.12"
-            pytorch: 2.9.1
+#            pytorch: 2.9.1
-            axolotl_extras: "fbgemm-gpu"
+#            axolotl_extras: "fbgemm-gpu"
-            num_gpus: 2
+#            num_gpus: 2
-            dockerfile: "Dockerfile-uv.jinja"
+#            dockerfile: "Dockerfile-uv.jinja"
           - cuda: 130
             cuda_version: 13.0.0
             python_version: "3.11"

.github/workflows/tests-nightly.yml

@@ -3,6 +3,10 @@ on:
   workflow_dispatch:
   schedule:
     - cron: '0 0 * * *'  # Runs at 00:00 UTC every day
+  pull_request:
+    types: [opened, synchronize, reopened, ready_for_review]
+    paths:
+      - '.github/workflows/tests-nightly.yml'
 
 jobs:
   pre-commit:
@@ -27,7 +31,7 @@ jobs:
       - name: Restore Cache from S3
         id: hf-cache-restore-s3
         run: |
-          curl -L https://axolotl-ci.b-cdn.net/hf-cache.tar.zst > /dev/null
+          curl -v -H "Range: bytes=0-1023" -L https://axolotl-ci.b-cdn.net/hf-cache.tar.zst > /dev/null
 
   pytest:
     name: PyTest
@@ -35,7 +39,6 @@ jobs:
     needs: [prime-cdn-s3-cache]
     strategy:
       fail-fast: false
-      max-parallel: 2
       matrix:
         python_version: ["3.12"]  # TODO include py3.14 once https://github.com/mistralai/mistral-common/pull/194 is merged
         pytorch_version: ["2.8.0", "2.9.1", "2.10.0"]
@@ -60,7 +63,7 @@ jobs:
       - name: upgrade pip
         run: |
           pip3 install --upgrade pip
-          pip3 install --upgrade packaging==26.0 setuptools==75.8.0 wheel
+          pip3 install --upgrade packaging==26.0 setuptools==78.1.1 wheel
 
       - name: Install PyTorch
         run: |

.github/workflows/tests.yml

@@ -55,7 +55,7 @@ jobs:
       - name: Restore Cache from S3
         id: hf-cache-restore-s3
         run: |
-          curl -L https://axolotl-ci.b-cdn.net/hf-cache.tar.zst > /dev/null
+          curl -v -H "Range: bytes=0-1023" -L https://axolotl-ci.b-cdn.net/hf-cache.tar.zst > /dev/null
 
   pytest:
     name: PyTest

cicd/Dockerfile-uv.jinja

@@ -31,7 +31,7 @@ RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
         sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
     fi
 
-RUN uv pip install packaging==26.0 setuptools==75.8.0
+RUN uv pip install packaging==26.0 setuptools==78.1.1
 RUN uv pip install torchvision
 RUN uv pip uninstall causal_conv1d
 RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \

cicd/Dockerfile.jinja

@@ -32,7 +32,7 @@ RUN if [ "$NIGHTLY_BUILD" = "true" ] ; then \
         sed -i 's#^datasets.*#datasets @ git+https://github.com/huggingface/datasets.git@main#' requirements.txt; \
     fi
 
-RUN pip install packaging==26.0 setuptools==75.8.0 psutil
+RUN pip install packaging==26.0 setuptools==78.1.1 psutil
 RUN pip uninstall -y causal_conv1d
 RUN if [ "$AXOLOTL_EXTRAS" != "" ] ; then \
         pip install --no-build-isolation -e .[deepspeed,flash-attn,ring-flash-attn,optimizers,ray,$AXOLOTL_EXTRAS] $AXOLOTL_ARGS; \