diff --git a/.github/workflows/trunk.yml b/.github/workflows/trunk.yml
index 84b7208dc9b..3e3d1aed1b1 100644
--- a/.github/workflows/trunk.yml
+++ b/.github/workflows/trunk.yml
@@ -800,11 +800,26 @@ jobs:
         echo "Recipe: $RECIPE"
         echo "Quantize: $QUANTIZE"
 
-        echo "::group::Set up ExecuTorch"
         # The generic Linux job chooses to use base env, not the one setup by the image
         CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
         conda activate "${CONDA_ENV}"
-        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool cmake
+
+        echo "::group::Setup ExecuTorch"
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "cmake"
+        echo "::endgroup::"
+
+        echo "::group::Setup Huggingface"
+        pip install -U "huggingface_hub[cli]" accelerate
+        huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
+        OPTIMUM_ET_VERSION=$(cat .ci/docker/ci_commit_pins/optimum-executorch.txt)
+        pip install git+https://github.com/huggingface/optimum-executorch.git@${OPTIMUM_ET_VERSION}
+        echo "::endgroup::"
+
+        echo "::group::Test MODEL: $MODEL RECIPE: $RECIPE QUANTIZE: $QUANTIZE"
+        export OUTPUT_DIR="$(pwd)/${MODEL}_${RECIPE}_${QUANTIZE}"
+        python .ci/scripts/test_huggingface_optimum_model.py --model "$MODEL" --recipe "$RECIPE" $QUANTIZE --model_dir "$OUTPUT_DIR"
+        echo "::endgroup::"
+
         # Build executor_runner with ETdump enabled
         PYTHON_EXECUTABLE=python cmake -DPYTHON_EXECUTABLE=python \
           -DCMAKE_INSTALL_PREFIX=cmake-out \
@@ -822,25 +837,6 @@ jobs:
           -DEXECUTORCH_ENABLE_EVENT_TRACER=ON \
           -Bcmake-out .
         cmake --build cmake-out -j16 --target install --config Release
-        echo "::endgroup::"
-
-        echo "::group::Set up Hugging Face"
-        pip install -U "huggingface_hub[cli]"
-        huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
-        OPTIMUM_ET_COMMIT=$(cat .ci/docker/ci_commit_pins/optimum-executorch.txt)
-        git clone https://github.com/huggingface/optimum-executorch
-        pushd optimum-executorch
-        # There is no release yet, for CI stability, always test from the same commit on main
-        git checkout $OPTIMUM_ET_COMMIT
-        python install_dev.py --skip_override_torch
-        popd
-        pip list
-        echo "::endgroup::"
-
-        echo "::group::Run tests"
-        export OUTPUT_DIR="$(pwd)/${MODEL}_${RECIPE}_${QUANTIZE}"
-        python .ci/scripts/test_huggingface_optimum_model.py --model ${MODEL} --recipe ${RECIPE} ${QUANTIZE} --model_dir ${OUTPUT_DIR}
-        echo "::endgroup::"
 
         echo "::group::Generate artifacts for performance profiling"
         ./cmake-out/executor_runner \
@@ -907,16 +903,11 @@ jobs:
         ${CONDA_RUN} python install_executorch.py
         echo "::endgroup::"
 
-        echo "::group::Set up Hugging Face"
-        pip install -U "huggingface_hub[cli]"
-        huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
-        OPTIMUM_ET_COMMIT=$(cat .ci/docker/ci_commit_pins/optimum-executorch.txt)
-        git clone https://github.com/huggingface/optimum-executorch
-        pushd optimum-executorch
-        # There is no release yet, for CI stability, always test from the same commit on main
-        git checkout $OPTIMUM_ET_COMMIT
-        ${CONDA_RUN} python install_dev.py --skip_override_torch
-        popd
+        echo "::group::Set up Huggingface"
+        ${CONDA_RUN} pip install -U "huggingface_hub[cli]" accelerate
+        ${CONDA_RUN} huggingface-cli login --token $SECRET_EXECUTORCH_HF_TOKEN
+        OPTIMUM_ET_VERSION=$(cat .ci/docker/ci_commit_pins/optimum-executorch.txt)
+        ${CONDA_RUN} pip install git+https://github.com/huggingface/optimum-executorch.git@${OPTIMUM_ET_VERSION}
         ${CONDA_RUN} pip list
         echo "::endgroup::"