diff --git a/.ci/scripts/test_torchao_huggingface_checkpoints.sh b/.ci/scripts/test_torchao_huggingface_checkpoints.sh
new file mode 100644
index 00000000000..c0910b47826
--- /dev/null
+++ b/.ci/scripts/test_torchao_huggingface_checkpoints.sh
@@ -0,0 +1,139 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# -------------------------
+# Args / flags
+# -------------------------
+TEST_WITH_RUNNER=0
+MODEL_NAME=""
+
+# Parse args
+if [[ $# -lt 1 ]]; then
+  echo "Usage: $0 <model_name> [--test_with_runner]"
+  echo "Supported model_name values: qwen3_4b, phi_4_mini"
+  exit 1
+fi
+
+MODEL_NAME="$1"
+shift
+
+while [[ $# -gt 0 ]]; do
+  case "$1" in
+    --test_with_runner)
+      TEST_WITH_RUNNER=1
+      ;;
+    -h|--help)
+      echo "Usage: $0 <model_name> [--test_with_runner]"
+      echo "  model_name: qwen3_4b | phi_4_mini"
+      echo "  --test_with_runner: build ET + run llama_main to sanity-check the export"
+      exit 0
+      ;;
+    *)
+      echo "Unknown option: $1"
+      exit 1
+      ;;
+  esac
+  shift
+done
+
+if [[ -z "${PYTHON_EXECUTABLE:-}" ]]; then
+  PYTHON_EXECUTABLE=python3
+fi
+
+MODEL_OUT=model.pte
+
+case "$MODEL_NAME" in
+  qwen3_4b)
+    echo "Running Qwen3-4B export..."
+    HF_MODEL_DIR=$(hf download pytorch/Qwen3-4B-INT8-INT4)
+    EXPECTED_MODEL_SIZE_UPPER_BOUND=$((3 * 1024 * 1024 * 1024)) # 3GB
+    $PYTHON_EXECUTABLE -m executorch.examples.models.qwen3.convert_weights \
+      $HF_MODEL_DIR \
+      pytorch_model_converted.bin
+
+    $PYTHON_EXECUTABLE -m executorch.examples.models.llama.export_llama \
+      --model "qwen3_4b" \
+      --checkpoint pytorch_model_converted.bin \
+      --params examples/models/qwen3/config/4b_config.json \
+      --output_name $MODEL_OUT \
+      -kv \
+      --use_sdpa_with_kv_cache \
+      -X \
+      --xnnpack-extended-ops \
+      --max_context_length 1024 \
+      --max_seq_length 1024 \
+      --dtype fp32 \
+      --metadata '{"get_bos_id":199999, "get_eos_ids":[200020,199999]}'
+    ;;
+
+  phi_4_mini)
+    echo "Running Phi-4-mini export..."
+    HF_MODEL_DIR=$(hf download pytorch/Phi-4-mini-instruct-INT8-INT4)
+    EXPECTED_MODEL_SIZE_UPPER_BOUND=$((3 * 1024 * 1024 * 1024)) # 3GB
+    $PYTHON_EXECUTABLE -m executorch.examples.models.phi_4_mini.convert_weights \
+      $HF_MODEL_DIR \
+      pytorch_model_converted.bin
+
+    $PYTHON_EXECUTABLE -m executorch.examples.models.llama.export_llama \
+      --model "phi_4_mini" \
+      --checkpoint pytorch_model_converted.bin \
+      --params examples/models/phi_4_mini/config/config.json \
+      --output_name $MODEL_OUT \
+      -kv \
+      --use_sdpa_with_kv_cache \
+      -X \
+      --xnnpack-extended-ops \
+      --max_context_length 1024 \
+      --max_seq_length 1024 \
+      --dtype fp32 \
+      --metadata '{"get_bos_id":199999, "get_eos_ids":[200020,199999]}'
+    ;;
+
+  *)
+    echo "Error: unsupported model_name '$MODEL_NAME'"
+    echo "Supported values: qwen3_4b, phi_4_mini"
+    exit 1
+    ;;
+esac
+
+# Check file size
+MODEL_SIZE=$(stat --printf="%s" $MODEL_OUT 2>/dev/null || stat -f%z $MODEL_OUT)
+if [[ $MODEL_SIZE -gt $EXPECTED_MODEL_SIZE_UPPER_BOUND ]]; then
+  echo "Error: model size $MODEL_SIZE is greater than expected upper bound $EXPECTED_MODEL_SIZE_UPPER_BOUND"
+  exit 1
+fi
+
+# Install ET with CMake
+if [[ "$TEST_WITH_RUNNER" -eq 1 ]]; then
+  echo "[runner] Building and testing llama_main ..."
+    cmake -DPYTHON_EXECUTABLE=python \
+        -DCMAKE_INSTALL_PREFIX=cmake-out \
+        -DEXECUTORCH_ENABLE_LOGGING=1 \
+        -DCMAKE_BUILD_TYPE=Release \
+        -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \
+        -DEXECUTORCH_BUILD_XNNPACK=ON \
+        -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON \
+        -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_LLM_RUNNER=ON \
+        -DEXECUTORCH_BUILD_EXTENSION_LLM=ON \
+        -DEXECUTORCH_BUILD_KERNELS_LLM=ON \
+        -Bcmake-out .
+    cmake --build cmake-out -j16 --config Release --target install
+
+
+    # Install llama runner
+    cmake -DPYTHON_EXECUTABLE=python \
+        -DCMAKE_BUILD_TYPE=Release \
+        -Bcmake-out/examples/models/llama \
+        examples/models/llama
+    cmake --build cmake-out/examples/models/llama -j16 --config Release
+
+    # Run the model
+    ./cmake-out/examples/models/llama/llama_main --model_path=$MODEL_OUT --tokenizer_path="${HF_MODEL_DIR}/tokenizer.json" --prompt="Once upon a time,"
+fi
+
+# Clean up
+rm -f pytorch_model_converted.bin "$MODEL_OUT"
diff --git a/.github/workflows/trunk.yml b/.github/workflows/trunk.yml
index 251bb238f1b..f5c5161e0cc 100644
--- a/.github/workflows/trunk.yml
+++ b/.github/workflows/trunk.yml
@@ -585,6 +585,37 @@ jobs:
         # Test llama2
         PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -dtype "${DTYPE}" -mode "${MODE}"
 
+  test-torchao-huggingface-checkpoints:
+    name: test-torchao-huggingface-checkpoints
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
+    strategy:
+      matrix:
+        model: [qwen3_4b, phi_4_mini]
+        include:
+          - model: qwen3_4b
+            test_with_runner: true
+          - model: phi_4_mini
+            test_with_runner: false
+      fail-fast: false
+    with:
+      runner: linux.2xlarge
+      docker-image: ci-image:executorch-ubuntu-22.04-clang12
+      submodules: 'recursive'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 900
+      script: |
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool cmake
+        pip install -U "huggingface_hub[cli]"
+
+        bash .ci/scripts/test_torchao_huggingface_checkpoints.sh ${{ matrix.model }} ${{ matrix.test_with_runner && '--test_with_runner' || '' }}
+
   # # TODO(jackzhxng): Runner consistently runs out of memory before test finishes. Try to find a more powerful runner.
   # test-llava-runner-macos:
   #   name: test-llava-runner-macos
@@ -993,13 +1024,13 @@ jobs:
       timeout: 60
       script: |
         conda init powershell
-        
+
         powershell -Command "& {
           Set-PSDebug -Trace 1
           \$ErrorActionPreference = 'Stop'
           \$PSNativeCommandUseErrorActionPreference = \$true
 
-          .ci/scripts/setup-windows.ps1       
+          .ci/scripts/setup-windows.ps1
 
           powershell .ci/scripts/test_model.ps1 -modelName ${{ matrix.model }} -backend ${{ matrix.backend }}
-        }"
\ No newline at end of file
+        }"