diff --git a/.github/workflows/test-mlperf-inference-abtf-poc.yml b/.github/workflows/test-mlperf-inference-abtf-poc.yml
index e1e352c612..c08d89ed0e 100644
--- a/.github/workflows/test-mlperf-inference-abtf-poc.yml
+++ b/.github/workflows/test-mlperf-inference-abtf-poc.yml
@@ -3,7 +3,7 @@
 name: MLPerf inference ABTF POC Test
 
 on:
-  pull_request_target:
+  pull_request:
     branches: [ "main", "mlperf-inference" ]
     paths:
       - '.github/workflows/test-mlperf-inference-abtf-poc.yml'
@@ -37,7 +37,7 @@ jobs:
         cm pull repo mlcommons@cm4abtf --branch=poc
     - name: Test MLPerf Inference ABTF POC using ${{ matrix.backend }} on docker
       run: |
-        cm run script --tags=run-abtf,inference,_poc-demo --adr.compiler.tags=gcc --quiet --docker --docker_it=no  -v --gh_token=${{ secrets.ABTF_ACCESS_TOKEN }}
+        cm run script --tags=run-abtf,inference,_poc-demo --adr.compiler.tags=gcc --quiet  -v
 
   build2:
     runs-on: ${{ matrix.os }}
@@ -65,5 +65,31 @@ jobs:
         cm pull repo mlcommons@cm4abtf --branch=poc
     - name: Test MLPerf Inference ABTF POC using ${{ matrix.backend }} on ${{ matrix.os }}
       run: |
-        cm run script --tags=run-abtf,inference,_poc-demo --adr.compiler.tags=gcc --quiet  -v --gh_token=${{ secrets.ABTF_ACCESS_TOKEN }}
+        cm run script --tags=run-abtf,inference,_poc-demo --adr.compiler.tags=gcc --quiet  -v
     
+  build3:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [windows-latest]
+        python-version: [ "3.8", "3.12" ]
+        backend: [ "pytorch" ]
+        implementation: [ "python" ]
+        exclude:
+        - python-version: "3.8"
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v3
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python3 -m pip install cmind
+        cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
+        cm pull repo mlcommons@cm4abtf --branch=poc
+    - name: Test MLPerf Inference ABTF POC using ${{ matrix.backend }} on ${{ matrix.os }}
+      run: |
+        cm run script --tags=run-abtf,inference,_poc-demo --quiet --env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off  -v
\ No newline at end of file
diff --git a/automation/script/module.py b/automation/script/module.py
index b98a3906a2..c9ddb07e5e 100644
--- a/automation/script/module.py
+++ b/automation/script/module.py
@@ -3,7 +3,7 @@
 # as portable and reusable automation recipes with simple tags, native scripts 
 # and a unified CLI, Python API and JSON/YAML meta descriptions.
 #
-# This is a stable prototype of the CM script automation
+# This is a stable prototype of the CM script automation being developed by Grigori Fursin and Arjun Suresh
 #
 # TBD: when we have bandwidth and resources, we should refactor it
 # and make it cleaner and simpler while keeping full backwards compatibility.
@@ -4443,7 +4443,11 @@ def update_env_with_values(env, fail_on_not_found=False):
             if tmp_value not in env and fail_on_not_found:
                 return {'return':1, 'error':'variable {} is not in env'.format(tmp_value)}
             if tmp_value in env:
-                value = value.replace("<<<"+tmp_value+">>>", str(env[tmp_value]))
+                if type(value) == str:
+                    value = value.replace("<<<"+tmp_value+">>>", str(env[tmp_value]))
+                elif type(value) == list:
+                    for i,val in enumerate(value):
+                        value[i] = value[i].replace("<<<"+tmp_value+">>>", str(env[tmp_value]))
 
         env[key] = value
 
diff --git a/cm-repro/cm-run-script-input.json b/cm-repro/cm-run-script-input.json
new file mode 100644
index 0000000000..9fe20fd5e8
--- /dev/null
+++ b/cm-repro/cm-run-script-input.json
@@ -0,0 +1,41 @@
+{
+  "action": "run",
+  "automation": "script",
+  "tags": "run-mlperf,inference,_find-performance,_full",
+  "model": "mixtral-8x7b-99",
+  "implementation": "reference",
+  "framework": "pytorch",
+  "category": "edge",
+  "scenario": "Offline",
+  "execution_mode": "test",
+  "device": "cuda",
+  "test_query_count": "100",
+  "adr": {
+    "cuda": {
+      "version": "12.4.1"
+    }
+  },
+  "quiet": true,
+  "repro": true,
+  "cmd": [
+    "--tags=run-mlperf,inference,_find-performance,_full",
+    "--model=mixtral-8x7b-99",
+    "--implementation=reference",
+    "--framework=pytorch",
+    "--category=edge",
+    "--scenario=Offline",
+    "--execution_mode=test",
+    "--device=cuda",
+    "--test_query_count=100",
+    "--adr.cuda.version=12.4.1",
+    "--quiet",
+    "--repro"
+  ],
+  "out": "con",
+  "parsed_automation": [
+    [
+      "script",
+      "5b4e0237da074764"
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/script/app-mlperf-inference-intel/_cm.yaml b/script/app-mlperf-inference-intel/_cm.yaml
index 01735e0e77..55cbe426cf 100644
--- a/script/app-mlperf-inference-intel/_cm.yaml
+++ b/script/app-mlperf-inference-intel/_cm.yaml
@@ -112,20 +112,22 @@ deps:
   ########################################################################
   # Install OpenImages
 
+
   - enable_if_env:
       CM_MODEL:
       - retinanet
-    tags: compile,intel,model,_retinanet
     names:
-      - retinanet-compiler
+      - openimages-original
+      - dataset-original
+    tags: get,dataset,original,openimages,_validation,_custom-annotations,_full
 
   - enable_if_env:
       CM_MODEL:
       - retinanet
     names:
-      - openimages-preprocessed
-      - dataset-preprocessed
-    tags: get,dataset,preprocessed,openimages,_for.retinanet.onnx,_NCHW,_validation,_custom-annotations
+      - openimages-calibration
+      - dataset-calibration
+    tags: get,dataset,original,openimages,_calibration
 
 
 
@@ -214,11 +216,6 @@ variations:
     default: true
     env:
       CM_MODEL: resnet50
-      dataset_imagenet_preprocessed_input_square_side: 224
-      ml_model_has_background_class: "YES"
-      ml_model_image_height: 224
-      loadgen_buffer_size: 1024
-      loadgen_dataset_size: 50000
       CM_BENCHMARK: STANDALONE_CLASSIFICATION
 
   resnet50,int8:
@@ -239,23 +236,39 @@ variations:
     env:
       CM_MODEL: retinanet
       CM_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://zenodo.org/record/6617981/files/resnext50_32x4d_fpn.pth"
-      dataset_imagenet_preprocessed_input_square_side: 224
-      ml_model_image_height: 800
-      ml_model_image_width: 800
-      loadgen_buffer_size: 64
-      loadgen_dataset_size: 24576
       CM_BENCHMARK: STANDALONE_OBJECT_DETECTION
 
     deps:
     - tags: get,generic-python-lib,_numpy
+      names:
+        - pip-package
+        - numpy
+      version: "1.23.5"
 
+  3d-unet-99:
+    group: model
+    base:
+      - 3d-unet_
+    env:
+      CM_MODEL: 3d-unet-99
+
+  3d-unet-99.9:
+    group: model
+    base:
+      - 3d-unet_
+    env:
+      CM_MODEL: 3d-unet-99.9
+
+  3d-unet_:
+    env:
+      CM_BENCHMARK: MEDICAL_IMAGING
+    deps:
+      - tags: get,dataset,kits19,preprocessed
+      - tags: get,ml-model,medical-imaging,3d-unet,_pytorch,_weights
 
   bert_:
     env:
       CM_BENCHMARK: STANDALONE_BERT
-      dataset_squad_tokenized_max_seq_length: 384
-      loadgen_buffer_size: 10833
-      loadgen_dataset_size: 10833
 
   bert_,pytorch:
     deps:
@@ -327,9 +340,6 @@ variations:
         - conda-package
         - mkl
         tags: get,generic,conda-package,_package.mkl,_source.conda-forge
-        enable_if_env:
-          CM_MLPERF_INFERENCE_CODE_VERSION:
-          -  v4.0
       - names:
         - conda-package
         - mkl-include
@@ -342,10 +352,6 @@ variations:
         - conda-package
         - ncurses
         tags: get,generic,conda-package,_package.ncurses,_source.conda-forge
-      - names:
-        - conda-package
-        - ncurses
-        tags: get,generic,conda-package,_package.ncurses,_source.conda-forge
       - tags: get,generic-sys-util,_numactl
       - tags: get,generic,conda-package,_package.jemalloc,_source.conda-forge
         names:
@@ -388,8 +394,6 @@ variations:
       - tags: get,mlcommons,inference,loadgen,_custom-python,_keep-build
         names:
         - inference-loadgen
-        env:
-          CM_PYTHON_BIN_WITH_PATH: "<<<CM_CONDA_BIN_PATH>>>/python3"
  
 
   resnet50,build-harness:
@@ -410,6 +414,194 @@ variations:
         - run-mode
         - loadgen-scenario
 
+  retinanet,pytorch:
+    adr:
+      conda-package:
+        tags: _name.retinanet-pt
+      compiler:
+        tags: gcc
+      conda-python:
+        version: "3.9"
+    deps:
+      - tags: get,conda,_name.retinanet-pt
+      - tags: get,python,_conda.retinanet-pt
+      - names:
+        - conda-package
+        - mkl
+        tags: get,generic,conda-package,_package.mkl,_source.conda-forge
+      - names:
+          - conda-package
+          - libstdcxx-ng
+        tags: get,generic,conda-package,_package.libstdcxx-ng,_source.conda-forge
+
+      - names:
+        - conda-package
+        - mkl
+        tags: get,generic,conda-package,_package.mkl,_source.intel
+      - names:
+        - conda-package
+        - mkl-include
+        tags: get,generic,conda-package,_package.mkl-include,_source.intel
+      - names:
+        - conda-package
+        - intel-openmp
+        tags: get,generic,conda-package,_package.intel-openmp,_source.intel
+      - names:
+        - conda-package
+        - llvm-openmp
+        tags: get,generic,conda-package,_package.llvm-openmp,_source.conda-forge
+      - names:
+        - conda-package
+        - ncurses
+        tags: get,generic,conda-package,_package.ncurses,_source.conda-forge
+      - tags: get,generic-sys-util,_numactl
+      - tags: get,generic,conda-package,_package.cmake,_source.conda-forge
+        names:
+        - conda-package
+        - cmake
+      - tags: get,generic,conda-package,_package.jemalloc,_source.conda-forge
+        names:
+        - conda-package
+        - jemalloc
+      - tags: get,pytorch,from.src,_for-intel-mlperf-inference-retinanet
+        names:
+          - pytorch
+      - tags: get,torchvision,from.src,_sha.8e078971b8aebdeb1746fea58851e3754f103053
+        update_tags_from_env_with_prefix:
+          "_python.":
+            - CM_PYTHON_BIN_WITH_PATH
+        names:
+          - torchvision
+      - tags: install,opencv,from.src,_branch.4.x
+        names:
+          - opencv-from-src
+      - tags: get,git,repo,_repo.https://github.com/Tencent/rapidjson.git,_sha.e4bde977
+        names:
+          - rapidjson-src
+        env:
+          CM_GIT_CHECKOUT_PATH_ENV_NAME: CM_RAPIDJSON_SRC_REPO_PATH
+      - tags: install,gflags,from.src
+        names:
+          - gflags-from-src
+      - tags: install,onednn,from.src,_branch.rls-v2.6
+        names:
+          - onednn-from-src
+      - tags: get,generic-python-lib,_package.scikit-learn
+        names:
+          - pip-package
+          - scikit-learn
+      - tags: get,generic-python-lib,_package.opencv-python
+        names:
+          - pip-package
+          - opencv-python
+      - tags: get,generic-python-lib,_package.pycocotools
+        names:
+          - pip-package
+          - pycocotools
+      - tags: install,ipex,from.src,_for-intel-mlperf-inference-v3.1-retinanet
+        names:
+          - ipex-from-src
+      - tags: get,generic,conda-package,_package.ninja
+        names:
+        - conda-package
+        - ninja
+      - tags: get,mlcommons,inference,src
+        names:
+        - inference-src
+      - tags: get,mlcommons,inference,loadgen,_custom-python,_keep-build
+        names:
+        - inference-loadgen
+ 
+
+  retinanet,build-harness:
+    deps: 
+    - tags: reproduce,mlperf,inference,intel,_compile-model
+      inherit_variation_tags: true
+      force_cache: true
+      skip_inherit_variation_groups:
+        - run-mode
+        - loadgen-scenario
+      new_env_keys:
+        - CM_ML_MODEL_RETINANET_INT8_FILE_WITH_PATH
+
+  retinanet,compile-model:
+    deps: 
+    - tags: get,ml-model,retinanet,_pytorch,_fp32
+    new_env_keys:
+      - CM_ML_MODEL_RETINANET_INT8_FILE_WITH_PATH
+
+  3d-unet_,pytorch:
+    adr:
+      conda-package:
+        tags: _name.3d-unet-pt
+    deps:
+      - tags: get,generic-sys-util,_libffi7
+      - tags: get,conda,_name.3d-unet-pt
+      - tags: get,python,_conda.3d-unet-pt
+        adr:
+          conda-python:
+            version: "3.8"
+      - names:
+        - conda-package
+        - mkl
+        tags: get,generic,conda-package,_package.mkl,_source.conda-forge
+      - names:
+        - conda-package
+        - mkl-include
+        tags: get,generic,conda-package,_package.mkl-include,_source.intel
+      - names:
+        - conda-package
+        - mkl-service
+        tags: get,generic,conda-package,_package.mkl-service,_source.intel
+      - names:
+        - conda-package
+        - mkl_fft
+        tags: get,generic,conda-package,_package.mkl_fft,_source.intel
+      - names:
+        - conda-package
+        - mkl_random
+        tags: get,generic,conda-package,_package.mkl_random,_source.intel
+      - names:
+        - conda-package
+        - ncurses
+        tags: get,generic,conda-package,_package.ncurses,_source.conda-forge
+      - tags: get,generic-sys-util,_numactl
+      - tags: get,generic,conda-package,_package.jemalloc,_source.conda-forge
+        names:
+        - conda-package
+        - jemalloc
+      - tags: install,ipex,from.src,_for-intel-mlperf-inference-v3.1-3d-unet
+        names:
+          - ipex-from-src
+      - tags: get,generic,conda-package,_package.ninja
+        names:
+        - conda-package
+        - ninja
+      - tags: get,mlcommons,inference,src
+        names:
+        - inference-src
+      - tags: get,mlcommons,inference,loadgen,_custom-python,_keep-build
+        names:
+        - inference-loadgen
+ 
+
+  3d-unet_,build-harness:
+    deps: 
+    - tags: reproduce,mlperf,inference,intel,_compile-model
+      inherit_variation_tags: true
+      force_cache: true
+      skip_inherit_variation_groups:
+        - run-mode
+        - loadgen-scenario
+
+  3d-unet_,compile-model:
+    deps: 
+    - tags: reproduce,mlperf,inference,intel,_calibration
+      inherit_variation_tags: true
+      force_cache: true
+      skip_inherit_variation_groups:
+        - run-mode
+        - loadgen-scenario
 
   gptj_,pytorch:
     adr:
@@ -670,6 +862,7 @@ variations:
       - tags: generate,user-conf,mlperf,inference
         names:
         - user-conf-generator
+      - tags: get,generic-sys-util,_rsync
 
     env:
       CM_LOCAL_MLPERF_INFERENCE_INTEL_RUN_MODE: run_harness
diff --git a/script/app-mlperf-inference-intel/build_retinanet_harness.sh b/script/app-mlperf-inference-intel/build_retinanet_harness.sh
new file mode 100644
index 0000000000..0d577b26b2
--- /dev/null
+++ b/script/app-mlperf-inference-intel/build_retinanet_harness.sh
@@ -0,0 +1,44 @@
+export PATH=${CM_CONDA_BIN_PATH}:$PATH
+
+cd ${CM_HARNESS_CODE_ROOT}
+
+
+export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
+
+export IPEX_PATH=${CM_IPEX_INSTALLED_PATH}
+export TORCH_PATH=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'`
+
+if [[ -z ${TORCH_PATH} ]]; then
+  echo "Torch not found"
+  exit 1
+fi
+
+export LOADGEN_DIR="${CM_MLPERF_INFERENCE_LOADGEN_INSTALL_PATH}/../"
+export OPENCV_DIR=${CM_OPENCV_BUILD_PATH}
+export RAPIDJSON_INCLUDE_DIR=${CM_RAPIDJSON_SRC_REPO_PATH}/include
+export GFLAGS_DIR=${CM_GFLAGS_BUILD_PATH}
+export USE_CUDA=0
+
+BUILD_DIR=${PWD}/build
+rm -rf "$BUILD_DIR"
+
+SRC_DIR=${PWD}/src
+
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${OPENCV_DIR}/lib:${ONEDNN_DIR}/build/src
+export LIBRARY_PATH=${LIBRARY_PATH}:${CONDA_PREFIX}/lib
+
+cmd="cmake -DCMAKE_PREFIX_PATH=${TORCH_PATH} \
+    -DLOADGEN_DIR=${LOADGEN_DIR} \
+    -DOpenCV_DIR=${OPENCV_DIR} \
+    -DRapidJSON_INCLUDE_DIR=${RAPIDJSON_INCLUDE_DIR} \
+    -Dgflags_DIR=${GFLAGS_DIR} \
+    -DINTEL_EXTENSION_FOR_PYTORCH_PATH=${IPEX_PATH} \
+    -DCMAKE_BUILD_TYPE=Release \
+    -B${BUILD_DIR} \
+    -H${SRC_DIR}"
+echo "$cmd"
+eval "$cmd"
+test "$?" -eq 0 || exit "$?"
+
+cmake --build ${BUILD_DIR} --config Release -j$(nproc)
+test "$?" -eq 0 || exit "$?"
diff --git a/script/app-mlperf-inference-intel/compile_resnet50.sh b/script/app-mlperf-inference-intel/compile_resnet50.sh
index 657d871efe..ee81956ec9 100644
--- a/script/app-mlperf-inference-intel/compile_resnet50.sh
+++ b/script/app-mlperf-inference-intel/compile_resnet50.sh
@@ -1,12 +1,9 @@
 export PATH=${CM_CONDA_BIN_PATH}:$PATH
-echo $PWD
 
-
-export DATA_CAL_DIR=calibration_dataset
+export DATA_CAL_DIR=${CM_HARNESS_CODE_ROOT}/calibration_dataset
 export CHECKPOINT=${CM_ML_MODEL_FILE_WITH_PATH}
 
 cd ${CM_HARNESS_CODE_ROOT}
-#mkdir -p 
-#cp src/ckernels/scripts/resnet50-int8-scales.json 
+
 bash generate_torch_model.sh
 test "$?" -eq 0 || exit "$?"
diff --git a/script/app-mlperf-inference-intel/compile_retinanet.sh b/script/app-mlperf-inference-intel/compile_retinanet.sh
new file mode 100644
index 0000000000..7e23b889af
--- /dev/null
+++ b/script/app-mlperf-inference-intel/compile_retinanet.sh
@@ -0,0 +1,11 @@
+export PATH=${CM_CONDA_BIN_PATH}:$PATH
+
+export CALIBRATION_ANNOTATIONS=${CM_DATASET_CALIBRATION_ANNOTATIONS_FILE_PATH}
+
+export CALIBRATION_DATA_DIR=${CM_CALIBRATION_DATASET_PATH}
+export MODEL_CHECKPOINT=${CM_ML_MODEL_FILE_WITH_PATH}
+
+cd ${CM_HARNESS_CODE_ROOT}
+
+bash run_calibration.sh
+test "$?" -eq 0 || exit "$?"
diff --git a/script/app-mlperf-inference-intel/customize.py b/script/app-mlperf-inference-intel/customize.py
index 4efff4bb81..4f8c8a27ba 100644
--- a/script/app-mlperf-inference-intel/customize.py
+++ b/script/app-mlperf-inference-intel/customize.py
@@ -22,7 +22,7 @@ def preprocess(i):
         return {'return': 1, 'error': 'Please select a variation specifying the device to run on'}
 
     ml_model = env['CM_MODEL']
-    master_model = ml_model.replace("-99", "").replace("-99.9","")
+    master_model = ml_model.replace("-99.9", "").replace("-99","")
     master_model = master_model.replace("gptj", "gpt-j")
 
     backend = env['CM_MLPERF_BACKEND']
@@ -61,9 +61,12 @@ def preprocess(i):
     loadgen_mode = env['CM_MLPERF_LOADGEN_MODE']
     env['CONDA_PREFIX'] = env['CM_CONDA_PREFIX']
 
+
     if env['CM_LOCAL_MLPERF_INFERENCE_INTEL_RUN_MODE'] == "calibration":
         if master_model == "resnet50":
             i['run_script_input']['script_name'] = "prepare_imagenet_calibration"
+        if master_model == "3d-unet":
+            i['run_script_input']['script_name'] = "prepare_3d-unet_data_model"
         else:
             calibration_root = os.path.join(env['CM_MLPERF_INFERENCE_RESULTS_PATH'], 'closed', 'Intel', 'calibration', master_model, backend+"-"+device)
 
@@ -76,6 +79,9 @@ def preprocess(i):
     elif env['CM_LOCAL_MLPERF_INFERENCE_INTEL_RUN_MODE'] == "compilation":
         if master_model == "resnet50":
             i['run_script_input']['script_name'] = "compile_resnet50"
+        elif master_model == "retinanet":
+            i['run_script_input']['script_name'] = "compile_retinanet"
+            env['CM_ML_MODEL_RETINANET_INT8_FILE_WITH_PATH'] = os.path.join(os.path.dirname(env['CM_ML_MODEL_FILE_WITH_PATH']), 'retinanet-int8-model.pth')
 
     elif env['CM_LOCAL_MLPERF_INFERENCE_INTEL_RUN_MODE'] == "build_harness":
         print(f"Harness Root: {harness_root}")
@@ -83,10 +89,13 @@ def preprocess(i):
             i['run_script_input']['script_name'] = "build_bert_harness"
             env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "bert_inference")
             env['DATA_PATH'] = os.path.join(os.getcwd(), "harness", "bert")
-        if "resnet50" in env['CM_MODEL']:
+        elif "resnet50" in env['CM_MODEL']:
             i['run_script_input']['script_name'] = "build_resnet50_harness"
             env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "resnet50_inference")
             env['DATA_PATH'] = os.path.join(os.getcwd(), "harness", "resnet50")
+        elif "retinanet" in env['CM_MODEL']:
+            i['run_script_input']['script_name'] = "build_retinanet_harness"
+            env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "retinanet_inference")
         elif "gpt" in env['CM_MODEL']:
             i['run_script_input']['script_name'] = "build_gptj_harness"
             env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH'] = os.path.join(os.getcwd(), "harness", "build", "gptj_inference")
@@ -138,8 +147,18 @@ def preprocess(i):
         elif 'resnet50' in env['CM_MODEL']:
             env['MODEL_PATH'] = os.path.dirname(os.path.dirname(env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH']))
             env['DATASET_PATH'] = os.path.dirname(os.path.dirname(env['CM_MLPERF_INFERENCE_INTEL_HARNESS_PATH']))
-            env['CM_RUN_DIR'] = i['run_script_input']['path']
-            env['CM_RUN_CMD'] = "bash run_resnet50_harness.sh " + ("--accuracy" if env['CM_MLPERF_LOADGEN_MODE'] == "accuracy" else "")
+            env['CM_RUN_DIR'] = env['CM_MLPERF_OUTPUT_DIR']
+            env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_resnet50_harness.sh')} "
+
+        elif 'retinanet' in env['CM_MODEL']:
+            env['MODEL_PATH'] = env['CM_ML_MODEL_RETINANET_INT8_FILE_WITH_PATH']
+            env['DATA_DIR'] = env['CM_DATASET_PATH_ROOT']
+            env['CM_RUN_DIR'] = env['CM_MLPERF_OUTPUT_DIR']
+            env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_retinanet_harness.sh')} "
+
+        elif '3d-unet' in env['CM_MODEL']:
+            env['CM_RUN_DIR'] = env['CM_MLPERF_OUTPUT_DIR']
+            env['CM_RUN_CMD'] = f"bash {os.path.join(i['run_script_input']['path'],'run_3d-unet_harness.sh')} "
 
         elif "gptj" in env['CM_MODEL']:
             env['CM_RUN_DIR'] = i['run_script_input']['path']
diff --git a/script/app-mlperf-inference-intel/prepare_3d-unet_data_model.sh b/script/app-mlperf-inference-intel/prepare_3d-unet_data_model.sh
new file mode 100644
index 0000000000..2633881471
--- /dev/null
+++ b/script/app-mlperf-inference-intel/prepare_3d-unet_data_model.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+
+export DOWNLOAD_DATA_DIR=${CM_DATASET_PATH}
+cd ${CM_HARNESS_CODE_ROOT}
+
+mkdir -p build
+ln -sf ${CM_DATASET_PREPROCESSED_PATH} build/preprocessed_data
+mkdir -p build/model
+ln -sf ${CM_ML_MODEL_FILE_WITH_PATH} build/model/3dunet_kits19_pytorch_checkpoint.pth
+#make setup
+#make duplicate_kits19_case_00185
+
+#make preprocess_data
+make preprocess_calibration_data
+make preprocess_gaussian_patches
+
+export LD_PRELOAD=${CONDA_PREFIX}/lib/libiomp5.so:$LD_PRELOAD
+python trace_model.py
diff --git a/script/app-mlperf-inference-intel/run_3d-unet_harness.sh b/script/app-mlperf-inference-intel/run_3d-unet_harness.sh
new file mode 100644
index 0000000000..78f44fb2b9
--- /dev/null
+++ b/script/app-mlperf-inference-intel/run_3d-unet_harness.sh
@@ -0,0 +1,49 @@
+#!/bin/bash
+
+
+scenario=${CM_MLPERF_LOADGEN_SCENARIO}
+OUTDIR="${CM_MLPERF_OUTPUT_DIR}"
+#python ../../user_config.py
+
+
+CPUS_PER_INSTANCE=8
+
+export DNNL_MAX_CPU_ISA=AVX512_CORE_AMX
+
+number_threads=`nproc --all`
+export number_cores=`lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l`
+num_numa=$(numactl --hardware|grep available|awk -F' ' '{ print $2 }')
+num_instance=$((number_cores/CPUS_PER_INSTANCE))
+export PYTHONPATH=${CM_HARNESS_CODE_ROOT}/common:$PYTHONPATH
+cp -r ${CM_HARNESS_CODE_ROOT}/meta $OUTDIR/
+cp ${CM_HARNESS_CODE_ROOT}/unet3d_jit_model.pt $OUTDIR/
+cp ${CM_HARNESS_CODE_ROOT}/calibration_result.json $OUTDIR/
+ln -sf ${CM_HARNESS_CODE_ROOT}/build $OUTDIR/build
+#the log path is hardcoded in the intel implementation. This is a hack to get them to where we want
+rm -rf $OUTDIR/output_logs
+ln -sf $OUTDIR $OUTDIR/output_logs 
+
+PYTHON_VERSION=`python -c 'import sys; print ("{}.{}".format(sys.version_info.major, sys.version_info.minor))'`
+SITE_PACKAGES=`python -c 'import site; print (site.getsitepackages()[0])'`
+IPEX_VERSION=`conda list |grep torch-ipex | awk '{print $2}' `
+export LD_LIBRARY_PATH=$SITE_PACKAGES/torch_ipex-${IPEX_VERSION}-py$PYTHON_VERSION-linux-x86_64.egg/lib/:$LD_LIBRARY_PATH
+export LD_PRELOAD=$CONDA_PREFIX/lib/libjemalloc.so:$LD_PRELOAD
+export MALLOC_CONF="oversize_threshold:1,background_thread:true,percpu_arena:percpu,metadata_thp:always,dirty_decay_ms:9000000000,muzzy_decay_ms:9000000000";
+
+
+#cd ${CM_HARNESS_CODE_ROOT}
+cmd="python ${CM_HARNESS_CODE_ROOT}/run.py   \
+      --mode ${LOADGEN_MODE} \
+      --workload-name 3dunet \
+      --mlperf-conf ${CM_MLPERF_CONF} \
+      --user-conf ${CM_MLPERF_USER_CONF} \
+      --workload-config ${CM_HARNESS_CODE_ROOT}/config.json \
+      --num-instance $num_instance \
+      --cpus-per-instance $CPUS_PER_INSTANCE \
+      --scenario $scenario \
+      --warmup 1 \
+      --precision=int8"
+
+echo "$cmd"
+eval "$cmd"
+test "$?" -eq 0 || exit "$?"
diff --git a/script/app-mlperf-inference-intel/run_resnet50_harness.sh b/script/app-mlperf-inference-intel/run_resnet50_harness.sh
index 9ec4ba245f..861d891aab 100644
--- a/script/app-mlperf-inference-intel/run_resnet50_harness.sh
+++ b/script/app-mlperf-inference-intel/run_resnet50_harness.sh
@@ -11,11 +11,11 @@ THREADS_PER_INSTANCE=$((( ${WORKERS_PER_PROC} * ${CM_HOST_CPU_THREADS_PER_CORE})
 
 export LD_PRELOAD=${CONDA_PREFIX}/lib/libjemalloc.so
 export LD_PRELOAD=${CONDA_PREFIX}/lib/libiomp5.so
-#export MALLOC_CONF="oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:9000000000,muzzy_decay_ms:9000000000";
+export MALLOC_CONF="oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:9000000000,muzzy_decay_ms:9000000000";
 
 KMP_SETTING="KMP_AFFINITY=granularity=fine,compact,1,0"
 export KMP_BLOCKTIME=1
-#export $KMP_SETTING
+export $KMP_SETTING
 
 
 export DATA_DIR=${CM_HARNESS_CODE_ROOT}/ILSVRC2012_img_val
@@ -25,6 +25,7 @@ export RN50_FULL=${CM_HARNESS_CODE_ROOT}/models/resnet50-full.pth
 
 export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CONDA_PREFIX}/lib
 
+rsync -avz  ${CM_HARNESS_CODE_ROOT}/val_data/ ${DATA_DIR}/
 executable="${CM_HARNESS_CODE_ROOT}/build/bin/mlperf_runner"
 
 number_threads=`nproc --all`
@@ -34,17 +35,16 @@ num_instance=$(($number_cores / $THREADS_PER_INSTANCE))
 
 scenario=${CM_MLPERF_LOADGEN_SCENARIO}
 OUTDIR="${CM_MLPERF_OUTPUT_DIR}"
-
+scenario="Offline"
 #python ../../user_config.py
-USER_CONF="${CM_MLPERF_USER_CONF}"
 
 #--warmup_iters 20 \
 CONFIG="  --scenario ${scenario} --mode ${LOADGEN_MODE} --model_name resnet50 \
 	--rn50-part1 ${RN50_START} --rn50-part3 ${RN50_END} --rn50-full-model ${RN50_FULL} \
 	--data_path ${DATA_DIR} \
-       	--mlperf_conf ${CM_MLPERF_CONF} --user_conf ${USER_CONF} \
-	--num_instance $number_cores \
+    --mlperf_conf ${CM_MLPERF_CONF} --user_conf ${CM_MLPERF_USER_CONF} \
 	--cpus_per_instance $CPUS_PER_INSTANCE \
+    --num_instance $number_cores \
 	--total_sample_count 50000 \
 	--batch_size 256
 	"
diff --git a/script/app-mlperf-inference-intel/run_retinanet_harness.sh b/script/app-mlperf-inference-intel/run_retinanet_harness.sh
new file mode 100644
index 0000000000..98ca3a5b26
--- /dev/null
+++ b/script/app-mlperf-inference-intel/run_retinanet_harness.sh
@@ -0,0 +1,50 @@
+#!/bin/bash
+
+CPUS_PER_INSTANCE=8
+number_threads=`nproc --all`
+export number_cores=`lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l`
+number_sockets=`grep physical.id /proc/cpuinfo | sort -u | wc -l`
+cpu_per_socket=$((number_cores/number_sockets))
+number_instance=$((number_cores/CPUS_PER_INSTANCE))
+
+WORKERS_PER_PROC=${WORKERS_PER_PROC:-4}
+THREADS_PER_INSTANCE=$((( ${WORKERS_PER_PROC} * ${CM_HOST_CPU_THREADS_PER_CORE}) / ${CM_HOST_CPU_SOCKETS}))
+
+export LD_PRELOAD=${CONDA_PREFIX}/lib/libjemalloc.so
+export LD_PRELOAD=${CONDA_PREFIX}/lib/libiomp5.so
+export MALLOC_CONF="oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:9000000000,muzzy_decay_ms:9000000000";
+
+KMP_SETTING="KMP_AFFINITY=granularity=fine,compact,1,0"
+export KMP_BLOCKTIME=1
+export $KMP_SETTING
+
+
+export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${CONDA_PREFIX}/lib
+
+executable="${CM_HARNESS_CODE_ROOT}/build/bin/mlperf_runner"
+
+number_threads=`nproc --all`
+export number_cores=`lscpu -b -p=Core,Socket | grep -v '^#' | sort -u | wc -l`
+num_numa=$(numactl --hardware|grep available|awk -F' ' '{ print $2 }')
+num_instance=$(($number_cores / $THREADS_PER_INSTANCE))
+
+scenario=${CM_MLPERF_LOADGEN_SCENARIO}
+OUTDIR="${CM_MLPERF_OUTPUT_DIR}"
+scenario="Offline"
+#python ../../user_config.py
+
+#--warmup_iters 20 \
+CONFIG="  --scenario ${scenario} --mode ${LOADGEN_MODE} --model_name retinanet \
+	--model_path ${MODEL_PATH} \
+	--data_path ${DATA_DIR} \
+    --mlperf_conf ${CM_MLPERF_CONF} --user_conf ${CM_MLPERF_USER_CONF} \
+	--cpus_per_instance $CPUS_PER_INSTANCE \
+    --num_instance $number_instance \
+	--total_sample_count 24781 \
+	--batch_size 1
+	"
+
+cmd=" ${executable} ${CONFIG}"
+echo "$cmd"
+eval "$cmd"
+test "$?" -eq 0 || exit "$?"
diff --git a/script/app-mlperf-inference-mlcommons-cpp/dockerfiles/ubuntu_22.04.Dockerfile b/script/app-mlperf-inference-mlcommons-cpp/dockerfiles/ubuntu_22.04.Dockerfile
deleted file mode 100644
index 7f9b8c493c..0000000000
--- a/script/app-mlperf-inference-mlcommons-cpp/dockerfiles/ubuntu_22.04.Dockerfile
+++ /dev/null
@@ -1,38 +0,0 @@
-FROM ubuntu:22.04
-
-# Maintained by the MLCommons taskforce on automation and reproducibility
-LABEL github="https://github.com/mlcommons/ck"
-LABEL maintainer="https://cKnowledge.org/mlcommons-taskforce"
-
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-
-# Install python packages
-RUN python3 -m pip install cmind requests giturlparse  
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ="US/Pacific"
-ENV PATH="${PATH}:/home/cmuser/.local/bin"
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo ctuning@mlcommons-ck
-
-# Install all system dependencies
-RUN cm run script --tags=get,sys-utils-cm --quiet
-
-# Run commands
-RUN cm run script --tags=app,mlperf,inference,_intel-original,_gptj-99 --quiet --fake_run --env.CM_RUN_STATE_DOCKER=True  
diff --git a/script/app-mlperf-inference-mlcommons-python/_cm.yaml b/script/app-mlperf-inference-mlcommons-python/_cm.yaml
index 0b92244768..2cb9367dd9 100644
--- a/script/app-mlperf-inference-mlcommons-python/_cm.yaml
+++ b/script/app-mlperf-inference-mlcommons-python/_cm.yaml
@@ -407,6 +407,18 @@ deps:
       CM_MLPERF_CUSTOM_MODEL_PATH:
       - "on"
 
+  ## mixtral-8x7b
+  - tags: get,ml-model,mixtral
+    names:
+    - ml-model
+    - mixtral-model
+    enable_if_env:
+      CM_MODEL:
+      - mixtral-8x7b
+    skip_if_env:
+      CM_MLPERF_CUSTOM_MODEL_PATH:
+      - "on"
+
   ## 3d-unet
   - tags: get,ml-model,medical-imaging,3d-unet
     names:
@@ -513,6 +525,14 @@ deps:
       - llama2-70b-99
       - llama2-70b-99.9
 
+  ## OpenOrca,mbxp,gsm8k combined dataset for mixtral-8x7b
+  - tags: get,dataset-mixtral,openorca-mbxp-gsm8k-combined
+    names:
+    - openorca-mbxp-gsm8k-combined-preprocessed
+    enable_if_env:
+      CM_MODEL:
+      - mixtral-8x7b
+
   ## Kits19 for 3d-unet
   - tags: get,dataset,kits19,preprocessed
     names:
@@ -914,6 +934,9 @@ variations:
       - tags: get,generic-python-lib,_package.nltk
         names:
           - nltk
+      - tags: get,generic-python-lib,_package.numpy
+        names:
+          - numpy
       - tags: get,generic-python-lib,_package.rouge-score
         names:
           - rouge-score
@@ -936,6 +959,52 @@ variations:
     base:
       - llama2-70b_
 
+  mixtral-8x7b:
+    group: models
+    env:
+      CM_MODEL: mixtral-8x7b
+    deps:
+      - tags: get,rust-compiler
+        names:
+          - rustup
+      - tags: get,generic-python-lib,_package.transformers
+        names:
+          - transformers
+      - tags: get,generic-python-lib,_package.datasets
+        names:
+          - datasets
+      - tags: get,generic-python-lib,_package.sentencepiece
+        names:
+          - sentencepiece
+      - tags: get,generic-python-lib,_package.protobuf
+        names:
+          - protobuf
+      - tags: get,generic-python-lib,_package.accelerate
+        names:
+          - accelerate
+      - tags: get,generic-python-lib,_package.absl-py
+        names:
+          - absl-py
+      - tags: get,generic-python-lib,_package.evaluate
+        names:
+          - evaluate
+      - tags: get,generic-python-lib,_package.nltk
+        names:
+          - nltk
+      - tags: get,generic-python-lib,_package.rouge-score
+        names:
+          - rouge-score
+      - tags: get,generic-python-lib,_package.pybind11
+        names:
+          - rouge-score
+      - tags: get,generic-python-lib,_mxeval
+        names:
+          - rouge-score
+  
+  mixtral-8x7b,cuda:
+    default_env:
+      CM_MLPERF_LOADGEN_BATCH_SIZE: 1
+
   3d-unet-99.9:
     group: models
     base:
diff --git a/script/app-mlperf-inference-mlcommons-python/customize.py b/script/app-mlperf-inference-mlcommons-python/customize.py
index b172293c0f..70415fc484 100644
--- a/script/app-mlperf-inference-mlcommons-python/customize.py
+++ b/script/app-mlperf-inference-mlcommons-python/customize.py
@@ -70,7 +70,7 @@ def preprocess(i):
 
 
     x="" if os_info['platform'] == 'windows' else "'"
-    if "llama2-70b" in env['CM_MODEL']:
+    if "llama2-70b" in env['CM_MODEL'] or "mixtral-8x7b" in env["CM_MODEL"]:
         env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] +=  " --mlperf-conf " + x+ env['CM_MLPERF_CONF'] + x
     else:
         env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] +=  " --mlperf_conf "+ x + env['CM_MLPERF_CONF'] + x
@@ -101,7 +101,7 @@ def preprocess(i):
     if 'CM_MLPERF_USER_CONF' in env:
         user_conf_path = env['CM_MLPERF_USER_CONF']
         x="" if os_info['platform'] == 'windows' else "'"
-        if 'llama2-70b' in env['CM_MODEL']:
+        if 'llama2-70b' in env['CM_MODEL'] or "mixtral-8x7b" in env["CM_MODEL"]:
             scenario_extra_options +=  " --user-conf " + x + user_conf_path + x
         else:
             scenario_extra_options +=  " --user_conf " + x + user_conf_path + x
@@ -307,6 +307,22 @@ def get_run_cmd_reference(os_info, env, scenario_extra_options, mode_extra_optio
                 ' --dtype ' + env['CM_MLPERF_MODEL_PRECISION'] + \
                 " --model-path " + env['MODEL_DIR']
         cmd = cmd.replace("--count", "--total-sample-count")
+    
+    elif "mixtral-8x7b" in env['CM_MODEL']:
+        env['RUN_DIR'] = os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "language", "mixtral-8x7b")
+        backend = env['CM_MLPERF_BACKEND']
+        device = env['CM_MLPERF_DEVICE'] if env['CM_MLPERF_DEVICE'] != "gpu" else "cuda"
+        cmd = env['CM_PYTHON_BIN_WITH_PATH'] + " main.py " \
+                " --scenario " + env['CM_MLPERF_LOADGEN_SCENARIO'] + \
+                " --dataset-path " + env['CM_DATASET_PREPROCESSED_PATH'] + \
+                " --device " + device.replace("cuda", "cuda:0") + \
+                 env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] + \
+                 scenario_extra_options + mode_extra_options + \
+                " --output-log-dir " + env['CM_MLPERF_OUTPUT_DIR'] + \
+                ' --dtype ' + env['CM_MLPERF_MODEL_PRECISION'] + \
+                " --model-path " + env['MODEL_DIR']
+        cmd = cmd.replace("--count", "--total-sample-count")
+
     elif "3d-unet" in env['CM_MODEL']:
 
         env['RUN_DIR'] = env['CM_MLPERF_INFERENCE_3DUNET_PATH']
diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml
index 56578b746c..087a89fcba 100644
--- a/script/app-mlperf-inference/_cm.yaml
+++ b/script/app-mlperf-inference/_cm.yaml
@@ -227,6 +227,10 @@ variations:
   reference,llama2-70b_:
     default_variations:
       backend: pytorch
+  
+  reference,mixtral-8x7b:
+    default_variations:
+      backend: pytorch
 
   reference,resnet50:
     default_variations:
@@ -349,9 +353,6 @@ variations:
       cnndm-accuracy-script:
         tags: _int32
 
-  intel-original,gptj_,build-harness:
-    docker:
-      run: false
 
   redhat:
     group:
@@ -417,6 +418,9 @@ variations:
   intel-original,resnet50:
     default_variations:
       precision: int8
+    add_deps_recursive:
+      imagenet-accuracy-script:
+        tags: _int32
 
   intel-original,retinanet:
     default_variations:
@@ -462,9 +466,10 @@ variations:
       - mlperf-accuracy-script
       - imagenet-accuracy-script
       tags: run,accuracy,mlperf,_imagenet
+
     docker:
       deps:
-      - tags: get,dataset,imagenet,validation,original
+      - tags: get,dataset,imagenet,validation,original,_full
         names:
           - imagenet-original
           - dataset-original
@@ -517,6 +522,7 @@ variations:
   3d-unet_:
     env:
       CM_MLPERF_MODEL_EQUAL_ISSUE_MODE: 'yes'
+      CM_MLPERF_INFERENCE_TEST_QPS: "0.01"
     posthook_deps:
     - enable_if_env:
         CM_MLPERF_LOADGEN_MODE:
@@ -536,11 +542,10 @@ variations:
     group:
       model
     env:
-      CM_MODEL:
-        stable-diffusion-xl
+      CM_MODEL: stable-diffusion-xl
+      CM_MLPERF_INFERENCE_TEST_QPS: "0.05"
     default_variations:
       precision: float16
-      backend: pytorch
       device: cuda
     add_deps_recursive:
       mlperf-inference-implementation:
@@ -563,6 +568,7 @@ variations:
   llama2-70b_:
     env:
       CM_MLPERF_MODEL_EQUAL_ISSUE_MODE: 'yes'
+      CM_MLPERF_INFERENCE_TEST_QPS: "0.01"
     posthook_deps:
     - enable_if_env:
         CM_MLPERF_LOADGEN_MODE:
@@ -601,6 +607,34 @@ variations:
     add_deps_recursive:
       mlperf-inference-implementation:
         tags: _llama2-70b-99.9
+  
+  mixtral-8x7b:
+    group:
+      model
+    base:
+    - mixtral-8x7b
+    env:
+      CM_MODEL:
+        mixtral-8x7b
+    add_deps_recursive:
+      mlperf-inference-implementation:
+        tags: _mixtral-8x7b
+    env:
+      CM_MLPERF_MODEL_EQUAL_ISSUE_MODE: 'yes'
+    posthook_deps:
+    - enable_if_env:
+        CM_MLPERF_LOADGEN_MODE:
+        - accuracy
+        - all
+        CM_MLPERF_ACCURACY_RESULTS_DIR:
+        - 'on'
+      skip_if_env:
+        CM_MLPERF_IMPLEMENTATION:
+        - nvidia
+      names:
+      - mlperf-accuracy-script
+      - openorca-gsm8k-mbxp-combined-accuracy-script
+      tags: run,accuracy,mlperf,_openorca-gsm8k-mbxp,_int32
 
   rnnt:
     group:
@@ -1327,6 +1361,7 @@ docker:
    - "${{ CM_MLPERF_INFERENCE_RESULTS_DIR }}:${{ CM_MLPERF_INFERENCE_RESULTS_DIR }}"
    - "${{ CM_MLPERF_INFERENCE_SUBMISSION_DIR }}:${{ CM_MLPERF_INFERENCE_SUBMISSION_DIR }}"
    - "${{ GPTJ_CHECKPOINT_PATH }}:${{ GPTJ_CHECKPOINT_PATH }}"
+   - "${{ LLAMA2_CHECKPOINT_PATH }}:${{ LLAMA2_CHECKPOINT_PATH }}"
    - "${{ DLRM_DATA_PATH }}:/home/mlperf_inf_dlrmv2"
   skip_run_cmd: 'no'
   shm_size: '32gb'
diff --git a/script/app-mlperf-inference/customize.py b/script/app-mlperf-inference/customize.py
index 1832908280..6ab5bb51da 100644
--- a/script/app-mlperf-inference/customize.py
+++ b/script/app-mlperf-inference/customize.py
@@ -108,6 +108,8 @@ def postprocess(i):
           pass #No compliance check for now
       elif 'llama2-70b' in model:
           pass #No compliance check for now
+      elif 'mixtral-8x7b' in model:
+          pass #No compliance check for now
       else:
         pass # Not giving an error now. But accuracy paths need to be done for other benchmarks which may need the non-determinism test
         #return {'return': 1, 'error': f'Accuracy paths not done for model {model}'}
diff --git a/script/build-dockerfile/dockerfiles/rhel_9.Dockerfile b/script/build-dockerfile/dockerfiles/rhel_9.Dockerfile
deleted file mode 100644
index 4deef4ec75..0000000000
--- a/script/build-dockerfile/dockerfiles/rhel_9.Dockerfile
+++ /dev/null
@@ -1,32 +0,0 @@
-FROM registry.access.redhat.com/ubi9
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN dnf update -y
-RUN dnf install -y python3 python-pip git wget sudo binutils
-
-# Install python packages
-RUN python3 -m pip install cmind requests
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo mlcommons@ck
-
-# Install all system dependencies
-RUN cm run script --quiet --tags=get,sys-utils-cm
-
-# Run command
-RUN cm version
diff --git a/script/build-dockerfile/dockerfiles/ubuntu_18.04.Dockerfile b/script/build-dockerfile/dockerfiles/ubuntu_18.04.Dockerfile
deleted file mode 100644
index 73a9b0fd37..0000000000
--- a/script/build-dockerfile/dockerfiles/ubuntu_18.04.Dockerfile
+++ /dev/null
@@ -1,32 +0,0 @@
-FROM ubuntu:18.04
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-
-# Install python packages
-RUN python3 -m pip install cmind requests
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo mlcommons@ck
-
-# Install all system dependencies
-RUN cm run script --quiet --tags=get,sys-utils-cm
-
-# Run command
-RUN cm version
diff --git a/script/build-dockerfile/dockerfiles/ubuntu_20.04.Dockerfile b/script/build-dockerfile/dockerfiles/ubuntu_20.04.Dockerfile
deleted file mode 100644
index c07b594335..0000000000
--- a/script/build-dockerfile/dockerfiles/ubuntu_20.04.Dockerfile
+++ /dev/null
@@ -1,32 +0,0 @@
-FROM ubuntu:20.04
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-
-# Install python packages
-RUN python3 -m pip install cmind requests
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo mlcommons@ck
-
-# Install all system dependencies
-RUN cm run script --quiet --tags=get,sys-utils-cm
-
-# Run command
-RUN cm version
diff --git a/script/build-dockerfile/dockerfiles/ubuntu_22.04.Dockerfile b/script/build-dockerfile/dockerfiles/ubuntu_22.04.Dockerfile
deleted file mode 100644
index 05b1d69b37..0000000000
--- a/script/build-dockerfile/dockerfiles/ubuntu_22.04.Dockerfile
+++ /dev/null
@@ -1,32 +0,0 @@
-FROM ubuntu:22.04
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-
-# Install python packages
-RUN python3 -m pip install cmind requests
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo mlcommons@ck
-
-# Install all system dependencies
-RUN cm run script --quiet --tags=get,sys-utils-cm
-
-# Run command
-RUN cm version
diff --git a/script/download-file/customize.py b/script/download-file/customize.py
index 78362181db..80e389d86f 100644
--- a/script/download-file/customize.py
+++ b/script/download-file/customize.py
@@ -48,7 +48,7 @@ def preprocess(i):
         verify_ssl = env.get('CM_VERIFY_SSL', "True")
         if str(verify_ssl).lower() in [ "no", "false" ]:
             verify_ssl = False
-            if tool == 'wget':
+            if tool == 'wget' or tool == "gdown":
                 extra_download_options += " --no-check-certificate"
         else:
             verify_ssl = True
@@ -113,7 +113,13 @@ def preprocess(i):
             if env.get('CM_RCLONE_CONFIG_CMD', '') != '':
                 env['CM_DOWNLOAD_CONFIG_CMD'] = env['CM_RCLONE_CONFIG_CMD']
             rclone_copy_using = env.get('CM_RCLONE_COPY_USING', 'sync')
-            env['CM_DOWNLOAD_CMD'] = f"rclone {rclone_copy_using} {q}{url}{q} {q}{os.path.join(os.getcwd(), env['CM_DOWNLOAD_FILENAME'])}{q} -P"
+            if env["CM_HOST_OS_TYPE"] == "windows":
+                # have to modify the variable from url to temp_url if it is going to be used anywhere after this point
+                url = url.replace("%", "%%")
+                temp_download_file = env['CM_DOWNLOAD_FILENAME'].replace("%", "%%")
+                env['CM_DOWNLOAD_CMD'] = f"rclone {rclone_copy_using} {q}{url}{q} {q}{os.path.join(os.getcwd(), temp_download_file)}{q} -P"
+            else:
+                env['CM_DOWNLOAD_CMD'] = f"rclone {rclone_copy_using} {q}{url}{q} {q}{os.path.join(os.getcwd(), env['CM_DOWNLOAD_FILENAME'])}{q} -P"
 
         filename = env['CM_DOWNLOAD_FILENAME']
         env['CM_DOWNLOAD_DOWNLOADED_FILENAME'] = filename
diff --git a/script/extract-file/customize.py b/script/extract-file/customize.py
index a8da7ec0d5..af769aecf1 100644
--- a/script/extract-file/customize.py
+++ b/script/extract-file/customize.py
@@ -25,6 +25,9 @@ def preprocess(i):
     filename = env.get('CM_EXTRACT_FILEPATH','')
     if filename == '':
         return {'return': 1, 'error': 'Extract with no download requested and CM_EXTRACT_FILEPATH is not set'}
+    
+    if windows:
+        filename = filename.replace("%", "%%")
 
     env['CM_EXTRACT_FILENAME'] = filename
 
diff --git a/script/get-brew/dockerfiles/ubuntu_22.04.Dockerfile b/script/get-brew/dockerfiles/ubuntu_22.04.Dockerfile
deleted file mode 100644
index 15fa071d94..0000000000
--- a/script/get-brew/dockerfiles/ubuntu_22.04.Dockerfile
+++ /dev/null
@@ -1,36 +0,0 @@
-FROM ubuntu:22.04
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-
-# Notes: https://runnable.com/blog/9-common-dockerfile-mistakes
-# Install system dependencies
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-
-# Install python packages
-RUN python3 -m pip install cmind requests
-
-# Setup docker environment
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-ENV PATH=${PATH}:$HOME/.local/bin
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-
-# Setup docker user
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-
-# Download CM repo for scripts
-RUN cm pull repo mlcommons@ck
-
-# Install all system dependencies
-RUN cm run script --quiet --tags=get,sys-utils-cm
-
-# Run commands
-
-# Run CM workflow
-RUN cm run script --tags=get,brew --fake_run 
-RUN cm run script --tags=get,brew 
diff --git a/script/get-conda/_cm.json b/script/get-conda/_cm.json
index 3253a3ff56..a7d73f922e 100644
--- a/script/get-conda/_cm.json
+++ b/script/get-conda/_cm.json
@@ -13,6 +13,7 @@
   "new_env_keys": [
     "+PATH",
     "+LD_LIBRARY_PATH",
+    "+LIBRARY_PATH",
     "CM_CONDA_PREFIX",
     "CONDA_PREFIX",
     "CM_CONDA_BIN_PATH",
diff --git a/script/get-conda/customize.py b/script/get-conda/customize.py
index d8ef13e343..d8fcf6eacd 100644
--- a/script/get-conda/customize.py
+++ b/script/get-conda/customize.py
@@ -78,6 +78,8 @@ def postprocess(i):
     conda_bin_path = os.path.dirname(env['CM_CONDA_BIN_WITH_PATH'])
     env['CM_CONDA_BIN_PATH'] = conda_bin_path
 
+    env['+PATH'] = [ conda_bin_path ]
+
     conda_prefix = os.path.dirname(conda_bin_path)
     env['CM_CONDA_PREFIX'] = conda_prefix
     env['CONDA_PREFIX'] = conda_prefix
@@ -87,6 +89,7 @@ def postprocess(i):
     if os.path.exists(conda_lib_path):
         env['CM_CONDA_LIB_PATH'] = conda_lib_path
         env['+LD_LIBRARY_PATH'] = [ conda_lib_path ]
+        env['+LIBRARY_PATH'] = [ conda_lib_path ]
 
     version = r['version']
 
diff --git a/script/get-dataset-mixtral/_cm.json b/script/get-dataset-mixtral/_cm.json
new file mode 100644
index 0000000000..e0ddd31eca
--- /dev/null
+++ b/script/get-dataset-mixtral/_cm.json
@@ -0,0 +1,48 @@
+{
+  "alias": "get-dataset-mixtral",
+  "automation_alias": "script",
+  "automation_uid": "5b4e0237da074764",
+  "cache": true,
+  "category": "AI/ML datasets",
+  "new_env_keys": [
+    "CM_DATASET_*"
+  ],
+  "deps":[
+    {
+      "tags": "detect,detect-os"
+    },
+    {
+      "skip_if_env": {
+        "CM_HOST_OS_TYPE": [
+          "windows"
+        ]
+      },
+      "tags": "get,rclone"
+    },
+    {
+      "enable_if_env": {
+        "CM_HOST_OS_TYPE": [
+          "windows"
+        ]
+      },
+      "tags": "get,rclone"
+    }
+  ],
+  "tags": [
+    "get",
+    "dataset-mixtral",
+    "openorca-mbxp-gsm8k-combined"
+  ],
+  "uid": "89e7c91444804775",
+  "variations": {
+    "mlcommons-storage":{
+      "default":true,
+      "env":{
+        "CM_RCLONE_WINDOWS_URL": "https://inference.mlcommons-storage.org/mixtral_8x7b%%2F2024.06.06_mixtral_15k_v4.pkl",
+        "CM_RCLONE_LINUX_URL": "https://inference.mlcommons-storage.org/mixtral_8x7b%2F2024.06.06_mixtral_15k_v4.pkl",
+        "CM_DATASET_FILE_NAME": "2024.06.06_mixtral_15k_v4.pkl"
+      },
+      "group": "download-source"
+    }
+  }
+}
diff --git a/script/get-dataset-mixtral/run.bat b/script/get-dataset-mixtral/run.bat
new file mode 100644
index 0000000000..bf1e128dd5
--- /dev/null
+++ b/script/get-dataset-mixtral/run.bat
@@ -0,0 +1,7 @@
+echo.
+
+rclone copyurl %CM_RCLONE_WINDOWS_URL% . -a -P
+IF %ERRORLEVEL% NEQ 0 EXIT 1
+
+echo CM_DATASET_PREPROCESSED_PATH=%CD%\%CM_DATASET_FILE_NAME% > tmp-run-env.out
+echo %CD%\%CM_DATASET_FILE_NAME%
diff --git a/script/get-dataset-mixtral/run.sh b/script/get-dataset-mixtral/run.sh
new file mode 100644
index 0000000000..ed3b3142f1
--- /dev/null
+++ b/script/get-dataset-mixtral/run.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+echo ""
+
+rclone copyurl ${CM_RCLONE_LINUX_URL} ./ -a -P
+test $? -eq 0 || exit 1
+
+echo "CM_DATASET_PREPROCESSED_PATH=$PWD/${CM_DATASET_FILE_NAME}" > tmp-run-env.out
diff --git a/script/get-dataset-openimages/_cm.json b/script/get-dataset-openimages/_cm.json
index 06ae8c2bb9..3f3904076b 100644
--- a/script/get-dataset-openimages/_cm.json
+++ b/script/get-dataset-openimages/_cm.json
@@ -69,11 +69,14 @@
   "new_env_keys": [
     "CM_DATASET_PATH",
     "CM_DATASET_PATH_ROOT",
+    "CM_DATASET_OPENIMAGES_DATASET_PATH",
+    "CM_DATASET_OPENIMAGES_DATASET_PATH_ROOT",
     "CM_DATASET_ANNOTATIONS_DIR_PATH",
     "CM_DATASET_ANNOTATIONS_FILE_PATH",
     "CM_DATASET_CALIBRATION_ANNOTATIONS_FILE_PATH",
     "CM_DATASET_VALIDATION_ANNOTATIONS_FILE_PATH",
-    "CM_CALIBRATION_DATASET_PATH"
+    "CM_CALIBRATION_DATASET_PATH",
+    "CM_CALIBRATION_DATASET_PATH_ROOT"
   ],
   "tags": [
     "get",
@@ -113,7 +116,12 @@
       ],
       "env": {
         "CM_DATASET_CALIBRATION": "yes"
-      }
+      },
+      "new_env_keys": [
+        "CM_DATASET_CALIBRATION_ANNOTATIONS_FILE_PATH",
+        "CM_CALIBRATION_DATASET_PATH",
+        "CM_CALIBRATION_DATASET_PATH_ROOT"
+      ]
     },
     "filter": {
     },
@@ -136,7 +144,16 @@
       "default": true,
       "env": {
         "CM_DATASET_CALIBRATION": "no"
-      }
+      },
+      "new_env_keys": [
+        "CM_DATASET_PATH",
+        "CM_DATASET_PATH_ROOT",
+        "CM_DATASET_OPENIMAGES_DATASET_PATH",
+        "CM_DATASET_OPENIMAGES_DATASET_PATH_ROOT",
+        "CM_DATASET_ANNOTATIONS_DIR_PATH",
+        "CM_DATASET_ANNOTATIONS_FILE_PATH",
+        "CM_DATASET_VALIDATION_ANNOTATIONS_FILE_PATH"
+      ]
     },
     "size.#": {
       "group": "size",
diff --git a/script/get-dataset-openimages/customize.py b/script/get-dataset-openimages/customize.py
index 3040fff2ba..6ccb558c59 100644
--- a/script/get-dataset-openimages/customize.py
+++ b/script/get-dataset-openimages/customize.py
@@ -73,8 +73,11 @@ def postprocess(i):
         if env.get("CM_DATASET_OPENIMAGES_CUSTOM_ANNOTATIONS",'') == "yes":
             annotations_file_src = env['CM_DATASET_OPENIMAGES_ANNOTATIONS_FILE_PATH']
             shutil.copy(annotations_file_src, env['CM_DATASET_ANNOTATIONS_DIR_PATH'])
+        env['CM_DATASET_OPENIMAGES_PATH'] = env['CM_DATASET_PATH']
+        env['CM_DATASET_OPENIMAGES_PATH_ROOT'] = env['CM_DATASET_PATH_ROOT']
     else:
         env['CM_CALIBRATION_DATASET_PATH'] = os.path.join(os.getcwd(), 'install', 'calibration', 'data')
+        env['CM_CALIBRATION_DATASET_PATH_ROOT'] = os.path.join(os.getcwd(), 'install')
         annotations_file_path = os.path.join(env['CM_DATASET_ANNOTATIONS_DIR_PATH'], "openimages-calibration-mlperf.json")
         env['CM_DATASET_CALIBRATION_ANNOTATIONS_FILE_PATH'] = annotations_file_path
 
diff --git a/script/get-generic-python-lib/_cm.json b/script/get-generic-python-lib/_cm.json
index 4b40d51d4f..603aecafb4 100644
--- a/script/get-generic-python-lib/_cm.json
+++ b/script/get-generic-python-lib/_cm.json
@@ -231,6 +231,13 @@
         "CM_GENERIC_PYTHON_PIP_URL": "git+https://github.com/NVIDIA/dllogger#egg=dllogger"
       }
     },
+    "mxeval": {
+      "env": {
+        "CM_GENERIC_PYTHON_PACKAGE_NAME": "mxeval",
+        "CM_GENERIC_PYTHON_PIP_URL": "git+https://github.com/amazon-science/mxeval.git",
+        "CM_PIP_ERROR_SKIP": "true"
+      }
+    },
     "fiftyone": {
       "env": {
         "CM_GENERIC_PYTHON_PACKAGE_NAME": "fiftyone"
diff --git a/script/get-generic-python-lib/customize.py b/script/get-generic-python-lib/customize.py
index 6dcf770f3d..18ae0149aa 100644
--- a/script/get-generic-python-lib/customize.py
+++ b/script/get-generic-python-lib/customize.py
@@ -33,6 +33,9 @@ def preprocess(i):
     if env.get('CM_GENERIC_PYTHON_PACKAGE_INSTALL_DEPS', '') == "no":
         env['CM_PYTHON_PIP_COMMON_EXTRA'] = " --no-deps"
 
+    if env.get('CM_PIP_INSTALL_NEEDS_USER', '') == "yes":
+        env['CM_PYTHON_PIP_COMMON_EXTRA'] = " --user"
+
     if env.get('CM_GENERIC_PYTHON_PIP_UNINSTALL_DEPS', '') != '':
         r = automation.run_native_script({'run_script_input':run_script_input, 'env':env, 'script_name':'uninstall_deps'})
         if r['return']>0: return r
diff --git a/script/get-generic-python-lib/install.sh b/script/get-generic-python-lib/install.sh
index 6029190cc3..5aca7aa7ca 100644
--- a/script/get-generic-python-lib/install.sh
+++ b/script/get-generic-python-lib/install.sh
@@ -7,19 +7,25 @@ if [[ ${CM_GENERIC_PYTHON_PACKAGE_VARIANT} == "nvidia-apex-depreciated" ]]; then
   cmd="${CM_PYTHON_BIN_WITH_PATH} -m pip install -v --disable-pip-version-check --global-option=\"--cpp_ext\" --global-option=\"--cuda_ext\" ./"
   echo $cmd
   eval $cmd
-  test $? -eq 0 || exit $?
+  if [[ -n ${CM_PIP_ERROR_SKIP} ]]; then
+    test $? -eq 0 || exit $?
+  fi
   exit 0
 fi
 
 if [[ ${CM_GENERIC_PYTHON_PACKAGE_NAME}  == "tensorflow_old" ]]; then
     if [[ ${CM_HOST_OS_FLAVOR} == "macos" ]]; then
         . ${CM_TMP_CURRENT_SCRIPT_PATH}/tensorflow/run-macos.sh
-        test $? -eq 0 || exit $?
+        if [[ -n ${CM_PIP_ERROR_SKIP} ]]; then
+            test $? -eq 0 || exit $?
+        fi
         exit 0
     fi
     if [[ ${CM_HOST_PLATFORM_FLAVOR} == "aarch64" ]]; then
         . ${CM_TMP_CURRENT_SCRIPT_PATH}/tensorflow/run-aarch64.sh
-        test $? -eq 0 || exit $?
+        if [[ -n ${CM_PIP_ERROR_SKIP} ]]; then
+            test $? -eq 0 || exit $?
+        fi
         exit 0
     fi
 fi
@@ -27,11 +33,16 @@ if [[ -n ${CM_GENERIC_PYTHON_PIP_URL} ]]; then
     cmd="${CM_PYTHON_BIN_WITH_PATH} -m pip install \"${CM_GENERIC_PYTHON_PIP_URL}\" ${CM_GENERIC_PYTHON_PIP_EXTRA}"
     echo $cmd
     eval $cmd
-    test $? -eq 0 || exit $?
+    if [[ -n ${CM_PIP_ERROR_SKIP} ]]; then
+        test $? -eq 0 || exit $?
+    fi
     exit 0
 fi
 
 cmd="${CM_PYTHON_BIN_WITH_PATH} -m pip install \"${CM_GENERIC_PYTHON_PACKAGE_NAME}${CM_TMP_PIP_VERSION_STRING}\" ${CM_GENERIC_PYTHON_PIP_EXTRA}"
 echo $cmd
 eval $cmd
-test $? -eq 0 || exit $?
+if [[ -n ${CM_PIP_ERROR_SKIP} ]]; then
+    test $? -eq 0 || exit $?
+fi
+exit 0
diff --git a/script/get-git-repo/_cm.json b/script/get-git-repo/_cm.json
index fffaabd108..dcb2ce9445 100644
--- a/script/get-git-repo/_cm.json
+++ b/script/get-git-repo/_cm.json
@@ -107,6 +107,11 @@
         "CM_GIT_PR_TO_APPLY": "#"
       }
     },
+    "cherrypicks.#": {
+      "env": {
+        "CM_GIT_CHERRYPICKS": "#"
+      }
+    },
     "repo.#": {
       "group": "repo",
       "env": {
diff --git a/script/get-git-repo/run.sh b/script/get-git-repo/run.sh
index 2080b72eb6..87803526d2 100644
--- a/script/get-git-repo/run.sh
+++ b/script/get-git-repo/run.sh
@@ -1,6 +1,7 @@
 #!/bin/bash
 
 CUR_DIR=$PWD
+echo "$CUR_DIR"
 SCRIPT_DIR=${CM_TMP_CURRENT_SCRIPT_PATH}
 
 folder=${CM_GIT_CHECKOUT_FOLDER}
@@ -50,11 +51,20 @@ else
 fi
 
 if [ ! -z ${CM_GIT_PR_TO_APPLY} ]; then
+  echo ""
+  echo "Fetching from ${CM_GIT_PR_TO_APPLY}"
   git fetch origin ${CM_GIT_PR_TO_APPLY}:tmp-apply
-  git config user.email "temp@example.com"
-  git merge tmp-apply --no-edit
 fi
 
+IFS=',' read -r -a cherrypicks <<< "${CM_GIT_CHERRYPICKS}"
+for cherrypick in "${cherrypicks[@]}"
+do
+  echo ""
+  echo "Applying cherrypick $cherrypick"
+  git cherry-pick -n $cherrypick
+  test $? -eq 0 || exit $?
+done
+
 IFS=',' read -r -a submodules <<< "${CM_GIT_SUBMODULES}"
 
 for submodule in "${submodules[@]}"
diff --git a/script/get-ml-model-3d-unet-kits19/_cm.json b/script/get-ml-model-3d-unet-kits19/_cm.json
index 076d18c5f6..13de73c7e6 100644
--- a/script/get-ml-model-3d-unet-kits19/_cm.json
+++ b/script/get-ml-model-3d-unet-kits19/_cm.json
@@ -60,7 +60,7 @@
     "pytorch,fp32,weights": {
       "env": {
         "CM_ML_MODEL_ACCURACY": "0.86170",
-        "CM_ML_MODEL_FILE": "retinanet_model_10.pth",
+        "CM_ML_MODEL_FILE": "3dunet_kits19_pytorch_checkpoint.pth",
         "CM_PACKAGE_URL": "https://zenodo.org/record/5597155/files/3dunet_kits19_pytorch_checkpoint.pth?download=1",
         "CM_UNZIP": "yes"
       }
diff --git a/script/get-ml-model-llama2/_cm.json b/script/get-ml-model-llama2/_cm.json
index 330465f8c1..3fc4381b97 100644
--- a/script/get-ml-model-llama2/_cm.json
+++ b/script/get-ml-model-llama2/_cm.json
@@ -11,6 +11,9 @@
   "input_mapping": {
     "checkpoint": "LLAMA2_CHECKPOINT_PATH"
   },
+  "docker": {
+    "real_run": false
+  },
   "new_env_keys": [
     "CM_ML_MODEL_*",
     "LLAMA2_CHECKPOINT_PATH"
diff --git a/script/get-ml-model-llama2/customize.py b/script/get-ml-model-llama2/customize.py
index 09f8148bf6..70a8974712 100644
--- a/script/get-ml-model-llama2/customize.py
+++ b/script/get-ml-model-llama2/customize.py
@@ -17,7 +17,9 @@ def postprocess(i):
 
     env = i['env']
 
-    env['LLAMA2_CHECKPOINT_PATH'] = env['CM_ML_MODEL_PATH']
+    if env.get('LLAMA2_CHECKPOINT_PATH', '' ) ==  '':
+        env['LLAMA2_CHECKPOINT_PATH'] = env['CM_ML_MODEL_PATH']
+
     env['CM_ML_MODEL_PATH'] = env['LLAMA2_CHECKPOINT_PATH']
     env['CM_ML_MODEL_LLAMA2_FILE_WITH_PATH'] = env['LLAMA2_CHECKPOINT_PATH']
     env['CM_GET_DEPENDENT_CACHED_PATH'] = env['CM_ML_MODEL_PATH']
diff --git a/script/get-ml-model-mixtral/_cm.json b/script/get-ml-model-mixtral/_cm.json
new file mode 100644
index 0000000000..6ef6359cb3
--- /dev/null
+++ b/script/get-ml-model-mixtral/_cm.json
@@ -0,0 +1,95 @@
+{
+  "alias": "get-ml-model-mixtral",
+  "automation_alias": "script",
+  "automation_uid": "5b4e0237da074764",
+  "cache": true,
+  "category": "AI/ML models",
+  "env": {
+    "CM_ML_MODEL_DATASET": "",
+    "CM_ML_MODEL_WEIGHT_TRANSFORMATIONS": "no"
+  },
+  "input_mapping": {
+    "checkpoint": "MIXTRAL_CHECKPOINT_PATH"
+  },
+  "new_env_keys": [
+    "CM_ML_MODEL_*",
+    "MIXTRAL_CHECKPOINT_PATH"
+  ],
+  "prehook_deps": [
+    {
+      "enable_if_env": {
+        "CM_TMP_REQUIRE_DOWNLOAD": [
+          "yes"
+        ]
+      },
+      "env": {},
+      "extra_cache_tags": "mixtral",
+      "force_env_keys": [
+        "CM_GIT_CHECKOUT_FOLDER"
+      ],
+      "names": [
+        "hf-zoo"
+      ],
+      "tags": "get,ml-model,huggingface,zoo,_clone-repo"
+    }
+  ],
+  "print_env_at_the_end": {
+    "MIXTRAL_CHECKPOINT_PATH": "MIXTRAL checkpoint path"
+  },
+  "tags": [
+    "get",
+    "raw",
+    "ml-model",
+    "language-processing",
+    "mixtral",
+    "mixtral-8x7b"
+  ],
+  "uid": "0c14127677f34ea2",
+  "variations": {
+    "batch_size.#": {
+      "env": {
+        "CM_ML_MODEL_BATCH_SIZE": "#"
+      }
+    },
+    "fp32": {
+      "default": true,
+      "env": {
+        "CM_ML_MODEL_INPUT_DATA_TYPES": "fp32",
+        "CM_ML_MODEL_PRECISION": "fp32",
+        "CM_ML_MODEL_WEIGHT_DATA_TYPES": "fp32"
+      },
+      "group": "precision"
+    },
+    "mistralai/Mixtral-8x7B-Instruct-v0.1": {
+      "adr": {
+        "hf-zoo": {
+          "tags": "_model-stub.mistralai/Mixtral-8x7B-Instruct-v0.1"
+        }
+      },
+      "default": true,
+      "env": {
+        "CM_GIT_CHECKOUT_FOLDER": "Mixtral-8x7B-Instruct-v0.1",
+        "CM_MODEL_ZOO_ENV_KEY": "MIXTRAL"
+      },
+      "group": "huggingface-stub"
+    },
+    "pytorch": {
+      "default": true,
+      "env": {
+        "CM_ML_MODEL_FRAMEWORK": "pytorch"
+      },
+      "group": "framework"
+    },
+    "stub.#": {
+      "adr": {
+        "hf-zoo": {
+          "tags": "_model-stub.#"
+        }
+      },
+      "env": {
+        "CM_MODEL_ZOO_ENV_KEY": "MIXTRAL"
+      },
+      "group": "huggingface-stub"
+    }
+  }
+}
diff --git a/script/get-ml-model-mixtral/customize.py b/script/get-ml-model-mixtral/customize.py
new file mode 100644
index 0000000000..8b1c0af52d
--- /dev/null
+++ b/script/get-ml-model-mixtral/customize.py
@@ -0,0 +1,24 @@
+from cmind import utils
+import os
+
+def preprocess(i):
+
+    os_info = i['os_info']
+    env = i['env']
+
+    path = env.get('MIXTRAL_CHECKPOINT_PATH', '').strip()
+
+    if path == '' or not os.path.exists(path):
+        env['CM_TMP_REQUIRE_DOWNLOAD'] = 'yes'
+
+    return {'return':0}
+
+def postprocess(i):
+
+    env = i['env']
+
+    env['MIXTRAL_CHECKPOINT_PATH'] = env['CM_ML_MODEL_PATH']
+    env['CM_ML_MODEL_PATH'] = env['MIXTRAL_CHECKPOINT_PATH']
+    env['CM_GET_DEPENDENT_CACHED_PATH'] = env['CM_ML_MODEL_PATH']
+
+    return {'return':0}
diff --git a/script/get-mlperf-inference-loadgen/run.sh b/script/get-mlperf-inference-loadgen/run.sh
index a1828add8e..d9acb121b8 100644
--- a/script/get-mlperf-inference-loadgen/run.sh
+++ b/script/get-mlperf-inference-loadgen/run.sh
@@ -48,12 +48,12 @@ MLPERF_INFERENCE_PYTHON_SITE_BASE=${INSTALL_DIR}"/python"
 cd "${CM_MLPERF_INFERENCE_SOURCE}/loadgen"
 #CFLAGS="-std=c++14 -O3" ${CM_PYTHON_BIN_WITH_PATH} setup.py bdist_wheel
 #${CM_PYTHON_BIN_WITH_PATH} -m pip install --force-reinstall `ls dist/mlperf_loadgen-*cp3${PYTHON_MINOR_VERSION}*.whl` --target="${MLPERF_INFERENCE_PYTHON_SITE_BASE}"
-${CM_PYTHON_BIN_WITH_PATH} -m pip install .
+${CM_PYTHON_BIN_WITH_PATH} -m pip install . --target="${MLPERF_INFERENCE_PYTHON_SITE_BASE}"
 
 if [ "${?}" != "0" ]; then exit 1; fi
 
 # Clean the built wheel
-find . -name 'mlcommons_loadgen*.whl' | xargs rm
+#find . -name 'mlcommons_loadgen*.whl' | xargs rm
 
 echo "******************************************************"
 echo "Loadgen is built and installed to ${INSTALL_DIR} ..."
diff --git a/script/get-mlperf-inference-results-dir/_cm.json b/script/get-mlperf-inference-results-dir/_cm.json
index 3e9eb912b5..8017dbca8a 100644
--- a/script/get-mlperf-inference-results-dir/_cm.json
+++ b/script/get-mlperf-inference-results-dir/_cm.json
@@ -36,11 +36,11 @@
         "CM_MLPERF_INFERENCE_RESULTS_VERSION": "#"
       }
     },
-    "version.4_0": {
+    "version.4_1": {
       "group": "version",
       "default": true,
       "env": {
-        "CM_MLPERF_INFERENCE_RESULTS_VERSION": "4_0"
+        "CM_MLPERF_INFERENCE_RESULTS_VERSION": "4_1"
       }
     }
   },
diff --git a/script/get-mlperf-inference-src/_cm.json b/script/get-mlperf-inference-src/_cm.json
index 82ba0d9338..9bd2f4c3aa 100644
--- a/script/get-mlperf-inference-src/_cm.json
+++ b/script/get-mlperf-inference-src/_cm.json
@@ -195,7 +195,7 @@
   "versions": {
     "custom": {
       "env": {
-        "CM_MLPERF_LAST_RELEASE": "v4.0"
+        "CM_MLPERF_LAST_RELEASE": "v4.1"
       }
     },
     "deepsparse": {
@@ -208,13 +208,13 @@
     "main": {
       "env": {
         "CM_TMP_GIT_CHECKOUT": "main",
-        "CM_MLPERF_LAST_RELEASE": "v4.0"
+        "CM_MLPERF_LAST_RELEASE": "v4.1"
       }
     },
     "master": {
       "env": {
         "CM_TMP_GIT_CHECKOUT": "master",
-        "CM_MLPERF_LAST_RELEASE": "v4.0"
+        "CM_MLPERF_LAST_RELEASE": "v4.1"
       }
     },
     "r2.1": {
diff --git a/script/get-mlperf-inference-submission-dir/_cm.json b/script/get-mlperf-inference-submission-dir/_cm.json
index 3c2f648f06..f056fd4c3c 100644
--- a/script/get-mlperf-inference-submission-dir/_cm.json
+++ b/script/get-mlperf-inference-submission-dir/_cm.json
@@ -36,10 +36,10 @@
       },
       "group": "version"
     },
-    "version.4_0": {
+    "version.4_1": {
       "default": true,
       "env": {
-        "CM_MLPERF_INFERENCE_SUBMISSION_VERSION": "4_0"
+        "CM_MLPERF_INFERENCE_SUBMISSION_VERSION": "4_1"
       },
       "group": "version"
     }
diff --git a/script/get-preprocessed-dataset-generic/src/preprocess_object_detection_dataset.py b/script/get-preprocessed-dataset-generic/src/preprocess_object_detection_dataset.py
index 84e18ee397..ef28014b94 100644
--- a/script/get-preprocessed-dataset-generic/src/preprocess_object_detection_dataset.py
+++ b/script/get-preprocessed-dataset-generic/src/preprocess_object_detection_dataset.py
@@ -38,7 +38,7 @@ def load_image(image_path, target_size, data_type='uint8', convert_to_bgr=False,
 
 def quantize_to_uint8(image, scale, offset):
     quantized_image = (image.astype(np.float64) / scale + offset).astype(np.float64)
-    output = np.round_(quantized_image)
+    output = np.round(quantized_image)
     output = np.clip(output, 0, 255)
     return output.astype(np.uint8)
 
diff --git a/script/get-preprocessed-dataset-openorca/_cm.json b/script/get-preprocessed-dataset-openorca/_cm.json
index 7934799c70..94a1336a05 100644
--- a/script/get-preprocessed-dataset-openorca/_cm.json
+++ b/script/get-preprocessed-dataset-openorca/_cm.json
@@ -110,5 +110,8 @@
       },
       "group": "dataset-type"
     }
+  },
+  "docker": {
+    "real_run": false
   }
 }
diff --git a/script/get-rclone/_cm.json b/script/get-rclone/_cm.json
index 31e1e0a9a5..39f60ef1ab 100644
--- a/script/get-rclone/_cm.json
+++ b/script/get-rclone/_cm.json
@@ -6,6 +6,14 @@
   "deps": [
     {
       "tags": "detect,os"
+    },
+    {
+      "enable_if_env": {
+        "CM_HOST_OS_TYPE": [
+          "windows"
+        ]
+      },
+      "tags": "get,sys-utils-min"
     }
   ],
   "category": "Detection or installation of tools and artifacts",
diff --git a/script/get-rclone/customize.py b/script/get-rclone/customize.py
index 84804d6e59..eef1ea9be6 100644
--- a/script/get-rclone/customize.py
+++ b/script/get-rclone/customize.py
@@ -53,7 +53,15 @@ def preprocess(i):
                 cur_dir = os.getcwd()
                 path_bin = os.path.join(cur_dir, file_name)
                 env['CM_RCLONE_BIN_WITH_PATH'] = path_bin
-                env['+PATH']=[cur_dir]
+                
+                if not env.get('+PATH', []):
+                    env['+PATH'] = []
+                env['+PATH'].append(cur_dir)
+
+                if not env.get('+PATH', []):
+                    env['+PATH'] = []
+                env['+PATH'].append(cur_dir)
+
 
             r = automation.run_native_script({'run_script_input':run_script_input, 
                                               'env':env, 
diff --git a/script/install-generic-conda-package/_cm.json b/script/install-generic-conda-package/_cm.json
index 7cc13f5e28..4cefd679d4 100644
--- a/script/install-generic-conda-package/_cm.json
+++ b/script/install-generic-conda-package/_cm.json
@@ -48,6 +48,14 @@
   ],
   "uid": "d9275487f5314195",
   "variations": {
+    "package.python": {
+      "env": {
+        "CM_CONDA_PKG_NAME": "python"
+      },
+      "new_env_keys": [
+        "CM_PYTHON_BIN_WITH_PATH"
+      ]
+    },
     "package.#": {
       "env": {
         "CM_CONDA_PKG_NAME": "#"
diff --git a/script/install-generic-conda-package/customize.py b/script/install-generic-conda-package/customize.py
index 5f7905d592..2e6486a54d 100644
--- a/script/install-generic-conda-package/customize.py
+++ b/script/install-generic-conda-package/customize.py
@@ -38,4 +38,7 @@ def postprocess(i):
     env = i['env']
     version = env.get('CM_VERSION', '')
 
+    if env['CM_CONDA_PKG_NAME'] == "python":
+        env['CM_PYTHON_BIN_WITH_PATH'] = os.path.join(os.path.dirname(env['CM_CONDA_BIN_WITH_PATH']), "python")
+
     return {'return':0, 'version': version}
diff --git a/script/install-ipex-from-src/_cm.json b/script/install-ipex-from-src/_cm.json
index ba6d9f6184..d9f4c358f8 100644
--- a/script/install-ipex-from-src/_cm.json
+++ b/script/install-ipex-from-src/_cm.json
@@ -152,6 +152,83 @@
     "for-intel-mlperf-inference-v3.1-resnet50": {
       "alias": "for-intel-mlperf-inference-resnet50"
     },
+    "for-intel-mlperf-inference-v3.1-retinanet": {
+      "alias": "for-intel-mlperf-inference-retinanet"
+    },
+    "for-intel-mlperf-inference-v3.1-3d-unet": {
+      "alias": "for-intel-mlperf-inference-3d-unet"
+    },
+    "for-intel-mlperf-inference-retinanet": {
+      "adr": {
+        "conda-package": {
+          "tags": "_name.retinanet-pt"
+        },
+        "pytorch": {
+          "tags": "_for-intel-mlperf-inference-retinanet"
+        }
+      },
+      "base": [
+        "tag.v1.12.0"
+      ],
+      "deps": [
+        {
+          "names": [
+            "conda"
+          ],
+          "tags": "get,conda,_name.retinanet-pt"
+        },
+        {
+          "names": [
+            "conda-package",
+            "python3"
+          ],
+          "tags": "get,generic,conda-package,_package.python",
+          "version": "3.9"
+        },
+        {
+          "names": [
+            "conda-package",
+            "wheel"
+          ],
+          "tags": "get,generic,conda-package,_package.wheel,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "setuptools"
+          ],
+          "version": "69.5.1",
+          "tags": "get,generic,conda-package,_package.setuptools,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "typing-extensions"
+          ],
+          "tags": "get,generic,conda-package,_package.typing-extensions,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "sympy"
+          ],
+          "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge"
+        },
+	      {
+	        "tags": "get,cmake",
+	        "version_max": "3.26.4"
+	      },
+	      {
+	        "tags": "get,gcc",
+	        "version_max": "12.3",
+	        "version_max_usable": "12.3"
+	      }
+      ],
+      "env": {
+        "CM_CONDA_ENV": "yes",
+        "CM_INTEL_IPEX_RETINANET_PATCH": "yes"
+      }
+    },
     "for-intel-mlperf-inference-resnet50": {
       "adr": {
         "conda-package": {
@@ -208,21 +285,96 @@
           ],
           "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge"
         },
-	    {
-	      "tags": "get,cmake",
-	      "version_max": "3.26.4"
-	    },
-	    {
-	      "tags": "get,gcc",
-	      "version_max": "12.3",
-	      "version_max_usable": "12.3"
-	    }
+	      {
+	        "tags": "get,cmake",
+	        "version_max": "3.26.4"
+	      },
+	      {
+	        "tags": "get,gcc",
+	        "version_max": "12.3",
+	        "version_max_usable": "12.3"
+	      }
       ],
       "env": {
         "CM_CONDA_ENV": "yes",
         "CM_INTEL_IPEX_RESNET50_PATCH": "yes"
       }
     },
+    "for-intel-mlperf-inference-3d-unet": {
+      "adr": {
+        "conda-package": {
+          "tags": "_name.3d-unet-pt"
+        },
+        "pytorch": {
+          "tags": "_for-intel-mlperf-inference-3d-unet"
+        }
+      },
+      "base": [
+        "branch.1.9.0-rc"
+      ],
+      "deps": [
+        {
+          "tags": "get,generic-sys-util,_libffi7"
+        },
+        {
+          "names": [
+            "conda"
+          ],
+          "tags": "get,conda,_name.3d-unet-pt"
+        },
+        {
+          "names": [
+            "conda-package",
+            "python3"
+          ],
+          "tags": "get,generic,conda-package,_package.python",
+          "version": "3.8"
+        },
+        {
+          "names": [
+            "conda-package",
+            "wheel"
+          ],
+          "tags": "get,generic,conda-package,_package.wheel,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "setuptools"
+          ],
+          "version": "69.5.1",
+          "tags": "get,generic,conda-package,_package.setuptools,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "typing-extensions"
+          ],
+          "tags": "get,generic,conda-package,_package.typing-extensions,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "sympy"
+          ],
+          "tags": "get,generic,conda-package,_package.sympy,_source.conda-forge"
+        },
+        {
+          "tags": "get,cmake",
+          "version_max": "3.26.4"
+        },
+        {
+          "tags": "get,gcc",
+          "version_max": "12.3",
+          "version_max_usable": "12.3"
+        }
+      ],
+      "env": {
+        "CM_CONDA_ENV": "yes",
+        "CM_INTEL_IPEX_3D_UNET_PATCH": "yes",
+        "CM_IPEX_SKIP_PYTORCH": "yes"
+      }
+    },
     "repo.#": {
       "env": {
         "CM_GIT_URL": "#"
diff --git a/script/install-ipex-from-src/apply_intel_3d-unet_patch.sh b/script/install-ipex-from-src/apply_intel_3d-unet_patch.sh
new file mode 100644
index 0000000000..f5a1b315ac
--- /dev/null
+++ b/script/install-ipex-from-src/apply_intel_3d-unet_patch.sh
@@ -0,0 +1,5 @@
+rm -rf unet3d.patch
+wget -nc https://raw.githubusercontent.com/mlcommons/inference_results_v3.1/main/closed/Intel/code/3d-unet-99/pytorch-cpu/unet3d.patch
+test $? -eq 0 || exit $?
+git apply unet3d.patch
+test $? -eq 0 || exit $?
diff --git a/script/install-ipex-from-src/apply_intel_retinanet_patch.sh b/script/install-ipex-from-src/apply_intel_retinanet_patch.sh
new file mode 100644
index 0000000000..d219846fc1
--- /dev/null
+++ b/script/install-ipex-from-src/apply_intel_retinanet_patch.sh
@@ -0,0 +1,5 @@
+rm runtime_ignore_dequant_check.patch
+wget -nc https://raw.githubusercontent.com/mlcommons/inference_results_v3.1/main/closed/Intel/code/retinanet/pytorch-cpu/runtime_ignore_dequant_check.patch
+test $? -eq 0 || exit $?
+git apply runtime_ignore_dequant_check.patch
+test $? -eq 0 || exit $?
diff --git a/script/install-ipex-from-src/run.sh b/script/install-ipex-from-src/run.sh
index b079211e6a..b54041a89a 100644
--- a/script/install-ipex-from-src/run.sh
+++ b/script/install-ipex-from-src/run.sh
@@ -6,11 +6,24 @@ rm -rf ipex_src
 cp -r ${IPEX_DIR} ipex_src
 cd ipex_src
 
+git submodule sync
 git submodule update --init --recursive
 
-if [[ ${aCM_INTEL_IPEX_RESNET50_PATCH} == "yes" ]]; then
+if [[ ${CM_INTEL_IPEX_RESNET50_PATCH} == "yes" ]]; then
   bash ${CM_TMP_CURRENT_SCRIPT_PATH}/apply_intel_resnet50_patch.sh
   test "$?" -eq 0 || exit "$?"
+
+elif [[ ${CM_INTEL_IPEX_RETINANET_PATCH} == "yes" ]]; then
+  bash ${CM_TMP_CURRENT_SCRIPT_PATH}/apply_intel_retinanet_patch.sh
+  test "$?" -eq 0 || exit "$?"
+
+elif [[ ${CM_INTEL_IPEX_3D_UNET_PATCH} == "yes" ]]; then
+  cd third_party/mkl-dnn
+  git fetch --tags && git checkout v2.7
+  test "$?" -eq 0 || exit "$?"
+  cd ../../
+  bash ${CM_TMP_CURRENT_SCRIPT_PATH}/apply_intel_3d-unet_patch.sh
+  test "$?" -eq 0 || exit "$?"
 fi
 
 rm -rf build
diff --git a/script/install-pytorch-from-src/_cm.json b/script/install-pytorch-from-src/_cm.json
index 445a82bc1e..2f3440db30 100644
--- a/script/install-pytorch-from-src/_cm.json
+++ b/script/install-pytorch-from-src/_cm.json
@@ -21,6 +21,10 @@
         "python3"
       ]
     },
+    {
+      "tags": "get,compiler",
+      "names": [ "compiler" ]
+    },
     {
       "env": {
         "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_PYTORCH_SRC_REPO_PATH"
@@ -102,11 +106,20 @@
       "env": {
       },
       "ad": {
-          "pytorch-src-repo": {
+        "pytorch-src-repo": {
           "tags": "_pr-to-apply.#"
         }
       }
     },
+    "cherrypicks.#": {
+      "env": {
+      },
+      "ad": {
+        "pytorch-src-repo": {
+          "tags": "_cherrypicks.#"
+        }
+      }
+    },
     "for-intel-mlperf-inference-resnet50": {
       "base": [
         "tag.v1.12.0-rc7",
@@ -120,7 +133,7 @@
       "env": {
         "CM_CONDA_ENV": "yes",
         "CM_MLPERF_INFERENCE_INTEL": "yes",
-        "CM_MLPERF_INFERENCE_INTEL_RESNET50_MODEL": "yes",
+        "CM_MLPERF_INFERENCE_INTEL_MODEL": "resnet50",
         "USE_CUDA": "0"
       },
       "deps": [
@@ -153,7 +166,74 @@
             "conda-package",
             "cmake"
           ],
-	      "version_min": "3.26",
+	        "version_min": "3.26",
+          "tags": "get,generic,conda-package,_package.cmake"
+        },
+        {
+          "tags": "get,generic-python-lib,_package.numpy",
+          "names": [
+            "pip-package",
+            "numpy"
+          ],
+          "version_max": "1.26.4"
+        },
+        {
+          "names": [
+            "conda-package",
+            "libstdcxx-ng"
+          ],
+          "tags": "get,generic,conda-package,_package.libstdcxx-ng,_source.conda-forge"
+        }
+      ]
+    },
+    "for-intel-mlperf-inference-retinanet": {
+      "base": [
+        "tag.v1.12.0-rc7",
+        "pr-to-apply.pull/89925/head",
+        "cherrypicks.78cad998e505b667d25ac42f8aaa24409f5031e1"
+      ],
+      "adr": {
+        "conda-package": {
+          "tags": "_name.retinanet-pt"
+        }
+      },
+      "env": {
+        "CM_CONDA_ENV": "yes",
+        "CM_MLPERF_INFERENCE_INTEL": "yes",
+        "CM_MLPERF_INFERENCE_INTEL_MODEL": "retinanet",
+        "USE_CUDA": "0"
+      },
+      "deps": [
+        {
+          "tags": "get,conda,_name.retinanet-pt",
+          "names": [ "conda" ]
+        },
+        {
+          "names": [
+            "conda-package",
+            "ncurses"
+          ],
+          "tags": "get,generic,conda-package,_package.ncurses,_source.conda-forge"
+        },
+        {
+          "names": [
+            "conda-package",
+            "python3"
+          ],
+          "tags": "get,generic,conda-package,_package.python",
+          "version": "3.9"
+        },
+        {
+          "tags": "get,gcc",
+          "version_max": "11.9",
+          "version_max_usable": "11.3"
+        },
+        {
+          "names": [
+            "conda-package",
+            "cmake"
+          ],
+	        "version_min": "3.26",
           "tags": "get,generic,conda-package,_package.cmake"
         },
         {
diff --git a/script/install-pytorch-from-src/customize.py b/script/install-pytorch-from-src/customize.py
index c8e6c99574..67f2673d33 100644
--- a/script/install-pytorch-from-src/customize.py
+++ b/script/install-pytorch-from-src/customize.py
@@ -15,9 +15,8 @@ def preprocess(i):
         run_cmd="CC=clang CXX=clang++ USE_CUDA=OFF python -m pip install -e . "
 
         env['CM_RUN_CMD'] = run_cmd
-    elif env.get('CM_MLPERF_INFERENCE_INTEL_RESNET50_MODEL', '') == "yes":
-        i['run_script_input']['script_name'] = "run-intel-mlperf-inference-resnet50"
-        run_cmd="CC=clang CXX=clang++ USE_CUDA=OFF python -m pip install -e . "
+    elif env.get('CM_MLPERF_INFERENCE_INTEL_MODEL', '') in [ "resnet50", "retinanet" ]:
+        i['run_script_input']['script_name'] = "run-intel-mlperf-inference-vision"
         run_cmd=f"CC={env['CM_C_COMPILER_WITH_PATH']} CXX={env['CM_CXX_COMPILER_WITH_PATH']} USE_CUDA=OFF python -m pip install -e . "
 
         env['CM_RUN_CMD'] = run_cmd
diff --git a/script/install-pytorch-from-src/run-intel-mlperf-inference-resnet50.sh b/script/install-pytorch-from-src/run-intel-mlperf-inference-vision.sh
similarity index 69%
rename from script/install-pytorch-from-src/run-intel-mlperf-inference-resnet50.sh
rename to script/install-pytorch-from-src/run-intel-mlperf-inference-vision.sh
index c828a61327..f3bd3d771c 100644
--- a/script/install-pytorch-from-src/run-intel-mlperf-inference-resnet50.sh
+++ b/script/install-pytorch-from-src/run-intel-mlperf-inference-vision.sh
@@ -1,21 +1,7 @@
 #!/bin/bash
 
-export PATH=${CM_CONDA_BIN_PATH}:$PATH
-
-
-gcc()
-{
-  ${CM_GCC_BIN_WITH_PATH} "$@"
-}
-export -f gcc
-
-g++()
-{
-  ${CM_CXX_COMPILER_WITH_PATH} "$@"
-}
-export -f g++
-
-#exit 1
+#export PATH=${CM_CONDA_BIN_PATH}:$PATH
+#export LIBRARY_PATH=${CM_CONDA_LIB_PATH}:$LIBRARY_PATH
 
 CUR_DIR=$PWD
 rm -rf pytorch
diff --git a/script/install-torchvision-from-src/_cm.json b/script/install-torchvision-from-src/_cm.json
index f0e72134b7..50aa95dee8 100644
--- a/script/install-torchvision-from-src/_cm.json
+++ b/script/install-torchvision-from-src/_cm.json
@@ -23,6 +23,10 @@
       },
       "tags": "get,python3"
     },
+    {
+      "tags": "get,compiler",
+      "names": [ "compiler" ]
+    },
     {
       "env": {
         "CM_GIT_CHECKOUT_PATH_ENV_NAME": "CM_PYTORCH_VISION_SRC_REPO_PATH"
@@ -74,6 +78,11 @@
         "CM_GIT_CHECKOUT": "#"
       }
     },
+    "python.#": {
+      "env": {
+        "CM_PYTHON_BIN_WITH_PATH": "#"
+      }
+    },
     "cuda": {
       "deps": [
         {
diff --git a/script/install-torchvision-from-src/run.sh b/script/install-torchvision-from-src/run.sh
index 06de574ada..3ba73deee8 100644
--- a/script/install-torchvision-from-src/run.sh
+++ b/script/install-torchvision-from-src/run.sh
@@ -7,8 +7,8 @@ cd pytorchvision
 test "${?}" -eq "0" || exit $?
 rm -rf build
 
-python setup.py bdist_wheel
+${CM_PYTHON_BIN_WITH_PATH} setup.py bdist_wheel
 test "${?}" -eq "0" || exit $?
 cd dist
-python3 -m pip install torchvision*linux_x86_64.whl
+${CM_PYTHON_BIN_WITH_PATH} -m pip install torchvision*linux_x86_64.whl
 test "${?}" -eq "0" || exit $?
diff --git a/script/process-mlperf-accuracy/_cm.json b/script/process-mlperf-accuracy/_cm.json
index 351434e7f8..2cc6631a77 100644
--- a/script/process-mlperf-accuracy/_cm.json
+++ b/script/process-mlperf-accuracy/_cm.json
@@ -45,7 +45,7 @@
         },
         {
           "tags": "get,generic-python-lib,_package.datasets",
-	  "names":
+	        "names":
           [
             "pip-package",
             "datasets"
@@ -85,55 +85,55 @@
         },
         {
           "tags": "download,file,_url.https://raw.githubusercontent.com/mlcommons/inference_results_v4.0/main/closed/Intel/code/gptj-99/ITREX/evaluation.py",
-	      "enable_if_env": {
-	        "CM_MLPERF_IMPLEMENTATION":
-            [
-	          "intel"
-            ]
+	        "enable_if_env": {
+	          "CM_MLPERF_IMPLEMENTATION":
+              [
+	            "intel"
+              ]
+	        },
+	        "force_cache": true,
+	        "extra_cache_tags": "intel,accuracy,file,gptj,mlperf,inference",
+	        "env": {
+	          "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_ACCURACY_FILE_WITH_PATH"
+	        }
 	      },
-	      "force_cache": true,
-	      "extra_cache_tags": "intel,accuracy,file,gptj,mlperf,inference",
-	      "env": {
-	        "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_ACCURACY_FILE_WITH_PATH"
-	      }
-	    },
         {
           "tags": "download,file,_url.https://raw.githubusercontent.com/mlcommons/inference_results_v4.0/main/closed/Intel/code/gptj-99/ITREX/dataset.py",
-	      "enable_if_env": {
-	        "CM_MLPERF_IMPLEMENTATION":
-            [
-	          "intel"
-            ]
+	        "enable_if_env": {
+	          "CM_MLPERF_IMPLEMENTATION":
+              [
+	            "intel"
+              ]
+	        },
+	        "force_cache": true,
+	        "extra_cache_tags": "intel,dataset,file,gptj,mlperf,inference",
+	        "env": {
+	          "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_DATASET_FILE_WITH_PATH"
+	        }
 	      },
-	      "force_cache": true,
-	      "extra_cache_tags": "intel,dataset,file,gptj,mlperf,inference",
-	      "env": {
-	        "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_DATASET_FILE_WITH_PATH"
-	      }
-	    },
         {
           "tags": "download,file,_url.https://raw.githubusercontent.com/mlcommons/inference_results_v4.0/main/closed/Intel/code/gptj-99/ITREX/item.py",
-	      "enable_if_env": {
-	        "CM_MLPERF_IMPLEMENTATION":
-            [
-	          "intel"
-            ]
+	        "enable_if_env": {
+	          "CM_MLPERF_IMPLEMENTATION":
+              [
+	            "intel"
+              ]
+	        },
+	        "force_cache": true,
+	        "extra_cache_tags": "intel,dataset,item,file,gptj,mlperf,inference",
+	        "env": {
+	          "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_DATASET_ITEM_FILE_WITH_PATH"
+	        }
 	      },
-	      "force_cache": true,
-	      "extra_cache_tags": "intel,dataset,item,file,gptj,mlperf,inference",
-	      "env": {
-	        "CM_DOWNLOAD_FINAL_ENV_NAME": "CM_MLPERF_INFERENCE_INTEL_GPTJ_DATASET_ITEM_FILE_WITH_PATH"
-	      }
-	    },
         {
           "tags": "get,ml-model,gptj,_fp32,_pytorch",
-	      "enable_if_env": {
-	        "CM_MLPERF_IMPLEMENTATION":
-            [
-	          "intel"
-            ]
+	        "enable_if_env": {
+	          "CM_MLPERF_IMPLEMENTATION":
+              [
+	            "intel"
+              ]
+	        }
 	      }
-	    }
       ],
       "env": {
         "CM_DATASET": "cnndm"
@@ -202,6 +202,11 @@
       "deps": [
         {
           "tags": "get,dataset,preprocessed,medical-imaging,kits19"
+        },
+        {
+          "tags": "get,generic-python-lib,_pandas",
+          "version_max": "1.53.0",
+          "version_max_usable": "1.53.0"
         }
       ],
       "env": {
@@ -326,6 +331,26 @@
       },
       "group": "dataset"
     },
+    "openorca-gsm8k-mbxp": {
+      "deps": [
+        {
+          "names": [
+            "openorca-gsm8k-mbxp-combined"
+          ],
+          "tags": "get,dataset-mixtral,openorca-mbxp-gsm8k-combined"
+        },
+        {
+          "names": [
+            "mixtral-8x7b-model"
+          ],
+          "tags": "get,ml-model,mixtral"
+        }
+      ],
+      "env": {
+        "CM_DATASET": "openorca-gsm8k-mbxp-combined"
+      },
+      "group": "dataset"
+    },
     "coco2014": {
       "deps": [
         {
diff --git a/script/process-mlperf-accuracy/customize.py b/script/process-mlperf-accuracy/customize.py
index 25f81a0921..1dd68becac 100644
--- a/script/process-mlperf-accuracy/customize.py
+++ b/script/process-mlperf-accuracy/customize.py
@@ -79,6 +79,12 @@ def preprocess(i):
                 "evaluate-accuracy.py")
             CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + accuracy_checker_file + "' --checkpoint-path '" + env['CM_ML_MODEL_LLAMA2_FILE_WITH_PATH'] + "' --mlperf-accuracy-file '" + os.path.join(result_dir, "mlperf_log_accuracy.json") + \
                 "' --dataset-file '" + env['CM_DATASET_PREPROCESSED_PATH'] + "'"+ " --dtype " + env.get('CM_ACCURACY_DTYPE', "int32")  +" > '" + out_file + "'"
+        
+        elif dataset == "openorca-gsm8k-mbxp-combined":
+            accuracy_checker_file = os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "language", "mixtral-8x7b",
+                "evaluate-accuracy.py")
+            CMD = env['CM_PYTHON_BIN_WITH_PATH'] + " '" + accuracy_checker_file + "' --checkpoint-path '" + env['CM_ML_MODEL_MIXTRAL_FILE_WITH_PATH'] + "' --mlperf-accuracy-file '" + os.path.join(result_dir, "mlperf_log_accuracy.json") + \
+                "' --dataset-file '" + env['CM_DATASET_PREPROCESSED_PATH'] + "'"+ " --dtype " + env.get('CM_ACCURACY_DTYPE', "float32")  +" > '" + out_file + "'"
 
 
         elif dataset == "coco2014":
diff --git a/script/reproduce-mlperf-octoml-tinyml-results/dockerfiles/ubuntu_20.04.Dockerfile b/script/reproduce-mlperf-octoml-tinyml-results/dockerfiles/ubuntu_20.04.Dockerfile
deleted file mode 100644
index 5a1672f1d8..0000000000
--- a/script/reproduce-mlperf-octoml-tinyml-results/dockerfiles/ubuntu_20.04.Dockerfile
+++ /dev/null
@@ -1,17 +0,0 @@
-FROM ubuntu:20.04
-SHELL ["/bin/bash", "-c"]
-ARG CM_GH_TOKEN
-RUN apt-get update -y
-RUN apt-get install -y python3 python3-pip git sudo wget
-RUN python3 -m pip install cmind requests
-ENTRYPOINT ["/bin/bash", "-c"]
-ENV TZ=US/Pacific
-RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ >/etc/timezone
-RUN groupadd cm
-RUN useradd  -g cm --create-home --shell /bin/bash cmuser
-RUN echo "cmuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
-USER cmuser:cm
-WORKDIR /home/cmuser
-RUN cm pull repo ctuning@mlcommons-ck
-RUN cm run script --quiet --tags=get,sys-utils-cm
-RUN cm run script --quiet --tags=reproduce,tiny,octoml --env.CM_GH_TOKEN=$CM_GH_TOKEN
diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml
index 84990a6955..72762501d6 100644
--- a/script/run-mlperf-inference-app/_cm.yaml
+++ b/script/run-mlperf-inference-app/_cm.yaml
@@ -346,6 +346,7 @@ input_description:
     - sdxl
     - llama2-70b-99
     - llama2-70b-99.9
+    - mixtral-8x7b
     - mobilenet
     - efficientnet
     default: resnet50
diff --git a/script/run-mlperf-inference-app/customize.py b/script/run-mlperf-inference-app/customize.py
index 861207c29b..67a60daabf 100644
--- a/script/run-mlperf-inference-app/customize.py
+++ b/script/run-mlperf-inference-app/customize.py
@@ -101,7 +101,7 @@ def preprocess(i):
     test_list = ["TEST01",  "TEST05"]
     if env['CM_MODEL']  in ["resnet50"]:
         test_list.append("TEST04")
-    if "gpt" in env['CM_MODEL'] or "sdxl" in env['CM_MODEL'] or "llama2-70b" in env['CM_MODEL']:
+    if "gpt" in env['CM_MODEL'] or "sdxl" in env['CM_MODEL'] or "llama2-70b" in env['CM_MODEL'] or "mixtral-8x7b" in env['CM_MODEL']:
         test_list.remove("TEST01")
         test_list.remove("TEST05")
 
@@ -555,6 +555,9 @@ def gui(i):
     
     elif model.startswith('llama2-'):
         github_doc_model = 'llama2-70b'
+    
+    elif model.startswith('mixtral-'):
+        github_doc_model = 'mixtral-8x7b'
 
     if github_doc_model == '': github_doc_model = model
     
diff --git a/script/run-mlperf-inference-submission-checker/_cm.json b/script/run-mlperf-inference-submission-checker/_cm.json
index ed3f45a5d3..3b567cc8e5 100644
--- a/script/run-mlperf-inference-submission-checker/_cm.json
+++ b/script/run-mlperf-inference-submission-checker/_cm.json
@@ -135,6 +135,13 @@
           "version": "r4.0"
         }
       }
+    },
+    "r4.1": {
+      "adr": {
+        "submission-checker-src": {
+          "version": "r4.1"
+        }
+      }
     }
   }
 }