diff --git a/.github/workflows/check-broken-links.md b/.github/workflows/check-broken-links.yml
similarity index 74%
rename from .github/workflows/check-broken-links.md
rename to .github/workflows/check-broken-links.yml
index a753ec75b..af257ebf4 100644
--- a/.github/workflows/check-broken-links.md
+++ b/.github/workflows/check-broken-links.yml
@@ -1,13 +1,16 @@
-name: Check .md README files for broken links
+name: "Check .md README files for broken links"
 
-on: [pull_request]
+on:
+  push: 
+    branches: 
+    - master
 
 jobs:
   markdown-link-check:
     runs-on: ubuntu-latest
     # check out the latest version of the code
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v4
 
     # Checks the status of hyperlinks in .md files in verbose mode
     - name: Check links
diff --git a/.github/workflows/code-review.yml b/.github/workflows/code-review.yml
index 258b305f3..3714d8a2a 100644
--- a/.github/workflows/code-review.yml
+++ b/.github/workflows/code-review.yml
@@ -2,7 +2,7 @@ name: OpenAI Code Review
 
 on:
   pull_request_target:
-    types: [opened, synchronize]
+    types: [opened]
     paths:
       - 'automation/**'
       - 'script/**'
@@ -15,7 +15,7 @@ permissions:
 jobs:
   code_review:
     runs-on: ubuntu-latest
-    if: github.repository_owner == 'gateoverflow' && github.event.pull_request.changed_files > 0
+    if: github.repository_owner == 'gateoverflow_off' && github.event.pull_request.changed_files > 0
     steps:
       # Run code review via OpenAI 
       # Step to run the OpenAI Code Review using the GATEOverflow action
diff --git a/.github/workflows/test-mlperf-inference-gptj.yml b/.github/workflows/test-mlperf-inference-gptj.yml
index 5a7ecc7e8..1c59dea46 100644
--- a/.github/workflows/test-mlperf-inference-gptj.yml
+++ b/.github/workflows/test-mlperf-inference-gptj.yml
@@ -5,12 +5,12 @@ name: MLPerf inference GPT-J
 
 on:
   schedule:
-    - cron: "1 1 * * */3"
+    - cron: "1 2 * * *"
 
 jobs:
   build:
     if: github.repository_owner == 'gateoverflow'
-    runs-on: [ self-hosted, linux, x64 ]
+    runs-on: [ self-hosted, linux, x64, GO-spr ]
     strategy:
       fail-fast: false
       matrix:
@@ -24,7 +24,10 @@ jobs:
         source gh_action/bin/deactivate || python3 -m venv gh_action
         source gh_action/bin/activate
         export CM_REPOS=$HOME/GH_CM
-        cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
+        python3 -m pip install cm4mlops
+        cm pull repo
     - name: Test MLPerf Inference GPTJ
       run: |
         cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --docker --model=gptj-99 --backend=${{ matrix.backend }} --device=cuda --scenario=Offline --test_query_count=1 --precision=${{ matrix.precision }} --target_qps=1 --quiet --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --beam_size=1 --hw_name=gh_action --docker_dt=yes  --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean
+        cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/mlperf_inference_test_submissions_v5.0 --repo_branch=main --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet --submission_dir=$HOME/gh_action_submissions
+
diff --git a/.github/workflows/test-mlperf-inference-llama2.yml b/.github/workflows/test-mlperf-inference-llama2.yml
new file mode 100644
index 000000000..97bd1bc6f
--- /dev/null
+++ b/.github/workflows/test-mlperf-inference-llama2.yml
@@ -0,0 +1,33 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: MLPerf inference LLAMA 2 70B
+
+on:
+  schedule:
+    - cron: "30 19 * * 4"
+
+jobs:
+  build_reference:
+    if: github.repository_owner == 'gateoverflow'
+    runs-on: [ self-hosted, GO-i9, linux, x64 ]
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: [ "3.12" ]
+        backend: [ "pytorch" ]
+        device: [ "cpu" ]
+
+    steps:
+    - name: Install dependencies
+      run: |
+        source gh_action/bin/deactivate || python3 -m venv gh_action
+        source gh_action/bin/activate
+        export CM_REPOS=$HOME/GH_CM
+        python3 -m pip install cm4mlops
+        cm pull repo
+        python3 -m pip install "huggingface_hub[cli]"
+        huggingface-cli login --token ${{ secrets.HF_TOKEN }} --add-to-git-credential
+    - name: Test MLPerf Inference LLAMA 2 70B reference implementation
+      run: |
+        cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --model=llama2-70b-99 --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }}  --docker --quiet --test_query_count=1 --target_qps=1 --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --hw_name=gh_action --docker_dt=yes  --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --env.CM_MLPERF_MODEL_LLAMA2_70B_DOWNLOAD_TO_HOST=yes --adr.inference-src.tags=_repo.https://github.com/anandhu-eng/inference.git --clean
diff --git a/.github/workflows/test-mlperf-inference-resnet50.yml b/.github/workflows/test-mlperf-inference-resnet50.yml
index acbe88b90..5867abbf6 100644
--- a/.github/workflows/test-mlperf-inference-resnet50.yml
+++ b/.github/workflows/test-mlperf-inference-resnet50.yml
@@ -4,7 +4,7 @@
 name: MLPerf inference ResNet50
 
 on:
-  pull_request:
+  pull_request_target:
     branches: [ "main", "dev", "mlperf-inference" ]
     paths:
       - '.github/workflows/test-mlperf-inference-resnet50.yml'
@@ -28,9 +28,7 @@ jobs:
           - os: macos-latest
             backend: tf
           - os: windows-latest
-#               MLPerf requires interaction when installing LLVM on Windows - that's why we excluded it here
-
-
+            implementation: cpp
     steps:
     - uses: actions/checkout@v4
     - name: Set up Python ${{ matrix.python-version }}
@@ -41,6 +39,26 @@ jobs:
       run: |
         python3 -m pip install cmind
         cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
-    - name: Test MLPerf Inference ResNet50
+    - name: Test MLPerf Inference ResNet50 (Windows)
+      if: matrix.os == 'windows-latest'
       run: |
-        cm run script --tags=run-mlperf,inference,_submission,_short --submitter="cTuning" --hw_name=default --model=resnet50 --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=500 --target_qps=1 -v --quiet 
+        cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --hw_name=gh_windows --model=resnet50 --adr.loadgen.tags=_from-pip --pip_loadgen=yes --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=500 --target_qps=1 -v --quiet 
+    - name: Test MLPerf Inference ResNet50 (Linux/macOS)
+      if: matrix.os != 'windows-latest'
+      run: |
+        cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --hw_name=gh_${{ matrix.os }}_x86 --model=resnet50 --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cpu --scenario=Offline --test_query_count=500 --target_qps=1 -v --quiet 
+    - name: Push Results
+      if: github.repository_owner == 'gateoverflow'
+      env:
+          USER: "GitHub Action"
+          EMAIL: "admin@gateoverflow.com"
+      run: |
+        git config --global user.name "$USER"
+        git config --global user.email "$EMAIL"
+        git config --global credential.https://github.com.helper ""
+        git config --global credential.https://github.com.helper "!gh auth git-credential"
+        git config --global credential.https://gist.github.com.helper ""
+        git config --global credential.https://gist.github.com.helper "!gh auth git-credential"
+
+        cm run script --tags=auth,gh,cli --with_token="${{ secrets.TEST_RESULTS_GITHUB_TOKEN }}"
+        cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/mlperf_inference_test_submissions_v5.0 --repo_branch=main --commit_message="Results from R50 GH action" --quiet
diff --git a/.github/workflows/test-mlperf-inference-sdxl.yaml b/.github/workflows/test-mlperf-inference-sdxl.yaml
index c7d693495..fd452c3ba 100644
--- a/.github/workflows/test-mlperf-inference-sdxl.yaml
+++ b/.github/workflows/test-mlperf-inference-sdxl.yaml
@@ -1,12 +1,12 @@
 name: MLPerf inference SDXL
-
+#off now as we have SCC24 test doing the same
 on:
   schedule:
     - cron: "1 2 * * *"
 
 jobs:
   build_reference:
-    if: github.repository_owner == 'gateoverflow'
+    if: github.repository_owner == 'gateoverflow_off'
     runs-on: [ self-hosted, linux, x64 ]
     strategy:
       fail-fast: false
@@ -15,18 +15,17 @@ jobs:
         backend: [ "pytorch" ]
         precision: [ "float16" ]
     steps:
-    - name: Install dependencies
+    - name: Test MLPerf Inference SDXL Reference
       run: |
         source gh_action/bin/deactivate || python3 -m venv gh_action
         source gh_action/bin/activate
         export CM_REPOS=$HOME/GH_CM
-        cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
-    - name: Test MLPerf Inference SDXL
-      run: |
+        python3 -m pip install cm4mlops
+        cm pull repo
         cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --docker --model=sdxl --backend=${{ matrix.backend }} --device=cuda --scenario=Offline --test_query_count=1 --precision=${{ matrix.precision }} --target_qps=1 --quiet --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --hw_name=gh_action --docker_dt=yes  --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean
 
   build_nvidia:
-      if: github.repository_owner == 'gateoverflow'
+      if: github.repository_owner == 'gateoverflow_off'
       runs-on: [ self-hosted, linux, x64 ]
       strategy:
         fail-fast: false
@@ -36,12 +35,10 @@ jobs:
           precision: [ "float16" ]
           implementation: [ "nvidia" ]
       steps:
-      - name: Install dependencies
+      - name: Test MLPerf Inference SDXL Nvidia
         run: |
           source gh_action/bin/deactivate || python3 -m venv gh_action
           source gh_action/bin/activate
           export CM_REPOS=$HOME/GH_CM
-          cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
-      - name: Test MLPerf Inference SDXL
-        run: |
+          cm pull repo
           cm run script --tags=run-mlperf,inference,_submission,_short --submitter="MLCommons" --docker --model=sdxl --implementation=${{ matrix.implementation }} --backend=${{ matrix.backend }} --device=cuda --scenario=Offline --test_query_count=1 --precision=${{ matrix.precision }} --target_qps=1 --quiet --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --adr.compiler.tags=gcc --hw_name=gh_action --docker_dt=yes  --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --clean
diff --git a/.github/workflows/test-scc24-sdxl.yaml b/.github/workflows/test-scc24-sdxl.yaml
index e9a2fa410..680d0f5f4 100644
--- a/.github/workflows/test-scc24-sdxl.yaml
+++ b/.github/workflows/test-scc24-sdxl.yaml
@@ -1,13 +1,15 @@
-name: MLPerf inference SDXL
+name: MLPerf inference SDXL (SCC)
 
 on:
   schedule:
-    - cron: "43 1 * * *"
+    - cron: "1 3 * * *"
 
 jobs:
   build_reference:
     if: github.repository_owner == 'gateoverflow'
-    runs-on: [ self-hosted, linux, x64 ]
+    runs-on: [ self-hosted, linux, x64, GO-spr ]
+    env:
+      CM_REPOS: $HOME/GH_CM
     strategy:
       fail-fast: false
       matrix:
@@ -16,23 +18,23 @@ jobs:
         precision: [ "float16" ]
         device: [ "cuda" ]
     steps:
-    - name: Install dependencies
+    - name: Test MLPerf Inference reference SDXL SCC 
       run: |
-        source gh_action/bin/deactivate || python3 -m venv gh_action
+        if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi
+        python3 -m venv gh_action
         source gh_action/bin/activate
         export CM_REPOS=$HOME/GH_CM
-        cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
-    - name: Test MLPerf Inference reference SDXL SCC 
-      env:
-        GITHUB_TOKEN: ${{ secrets.GH_TOKEN }}
-      run: |
-        cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --quiet --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --precision=float16 --clean |
-        cm run script --tags=generate,inference,submission --clean --preprocess_submission=yes --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --env.CM_DETERMINE_MEMORY_CONFIGURATION=yes --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons |
-        cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet
+        pip install --upgrade cm4mlops
+        pip install tabulate
+        cm pull repo
+        cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean
+        cm run script --tags=run-mlperf,inference,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=reference --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean
+        cm run script --tags=generate,inference,submission --clean --preprocess_submission=yes --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons --submission_dir=$HOME/scc_gh_action_submissions --results_dir=$HOME/scc_gh_action_results/test_results
+        cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet --submission_dir=$HOME/scc_gh_action_submissions
         
   build_nvidia:
       if: github.repository_owner == 'gateoverflow'
-      runs-on: [ self-hosted, linux, x64 ]
+      runs-on: [ self-hosted, linux, x64, GO-spr]
       strategy:
         fail-fast: false
         matrix:
@@ -41,16 +43,16 @@ jobs:
           precision: [ "float16" ]
           implementation: [ "nvidia" ]
       steps:
-      - name: Install dependencies
+      - name: Test MLPerf Inference NVIDIA SDXL SCC
         run: |
-          source gh_action/bin/deactivate || python3 -m venv gh_action
+          if [ -f "gh_action/bin/deactivate" ]; then source gh_action/bin/deactivate; fi
+          python3 -m venv gh_action
           source gh_action/bin/activate
           export CM_REPOS=$HOME/GH_CM
-          cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
-      - name: Test MLPerf Inference NVIDIA SDXL SCC
-        env:
-          GITHUB_TOKEN: ${{ secrets.GH_TOKEN }}
-        run: |
-          cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=nvidia --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/gh_action_results --submission_dir=$HOME/gh_action_submissions --precision=float16 --clean |
-          cm run script --tags=generate,inference,submission --clean --preprocess_submission=yes --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --env.CM_DETERMINE_MEMORY_CONFIGURATION=yes --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons |
-          cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet
+          pip install --upgrade cm4mlops
+          pip install tabulate
+          cm pull repo
+          cm run script --tags=run-mlperf,inference,_find-performance,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=nvidia --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --hw_name=go-spr --clean
+          cm run script --tags=run-mlperf,inference,_r4.1-dev,_short,_scc24-base --model=sdxl --implementation=nvidia --backend=${{ matrix.backend }} --category=datacenter --scenario=Offline --execution_mode=test --device=${{ matrix.device }} --precision=${{ matrix.precision }} --docker --docker_it=no --docker_cm_repo=gateoverflow@cm4mlops --docker_dt=yes --quiet --results_dir=$HOME/scc_gh_action_results --submission_dir=$HOME/scc_gh_action_submissions --precision=float16 --env.CM_MLPERF_MODEL_SDXL_DOWNLOAD_TO_HOST=yes --clean
+          cm run script --tags=generate,inference,submission --clean --preprocess_submission=yes --run-checker --tar=yes --env.CM_TAR_OUTFILE=submission.tar.gz --division=open --category=datacenter --run_style=test --adr.submission-checker.tags=_short-run --quiet --submitter=MLCommons --submission_dir=$HOME/scc_gh_action_submissions --results_dir=$HOME/scc_gh_action_results/test_results
+          cm run script --tags=push,github,mlperf,inference,submission --repo_url=https://github.com/gateoverflow/cm4mlperf-inference --repo_branch=mlperf-inference-results-scc24 --commit_message="Results from self hosted Github actions - NVIDIARTX4090" --quiet --submission_dir=$HOME/scc_gh_action_submissions
diff --git a/README.md b/README.md
index 06c2cd2bc..deff5458c 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,5 @@
 ## Unified and cross-platform CM interface for DevOps, MLOps and MLPerf
 
-[![arXiv](https://img.shields.io/badge/arXiv-2406.16791-b31b1b.svg)](https://arxiv.org/abs/2406.16791)
 [![License](https://img.shields.io/badge/License-Apache%202.0-green)](LICENSE.md)
 [![Python Version](https://img.shields.io/badge/python-3+-blue.svg)](https://github.com/mlcommons/ck/tree/master/cm/cmind)
 [![Powered by CM](https://img.shields.io/badge/Powered_by-MLCommons%20CM-blue)](https://github.com/mlcommons/ck).
@@ -141,8 +140,7 @@ cm run script \
 
 ## CM concepts
 
-* https://doi.org/10.5281/zenodo.8105339
-* https://arxiv.org/abs/2406.16791
+Check our [ACM REP'23 keynote](https://doi.org/10.5281/zenodo.8105339).
 
 ## Authors
 
diff --git a/script/app-image-corner-detection/_cm.json b/script/app-image-corner-detection/_cm.json
deleted file mode 100644
index 405654f5e..000000000
--- a/script/app-image-corner-detection/_cm.json
+++ /dev/null
@@ -1,34 +0,0 @@
-{
-  "alias": "app-image-corner-detection",
-  "automation_alias": "script",
-  "automation_uid": "5b4e0237da074764",
-  "category": "Modular application pipeline",
-  "deps": [
-    {"tags":"detect,os"},
-    {"tags":"detect,cpu"}
-  ],
-  "posthook_deps": [
-    {
-      "skip_if_env": {
-        "CM_SKIP_COMPILE": [
-          "on"
-        ]
-      },
-      "tags": "compile,cpp-program"
-    },
-    {
-      "skip_if_env": {
-        "CM_SKIP_RUN": [
-          "on"
-        ]
-      },
-      "tags": "benchmark-program"
-    }
-  ],
-  "tags": [
-    "app",
-    "image",
-    "corner-detection"
-  ],
-  "uid": "998ffee0bc534d0a"
-}
diff --git a/script/app-mlperf-inference-ctuning-cpp-tflite/_cm.json b/script/app-mlperf-inference-ctuning-cpp-tflite/_cm.json
index 1d00f3c81..03e91596a 100644
--- a/script/app-mlperf-inference-ctuning-cpp-tflite/_cm.json
+++ b/script/app-mlperf-inference-ctuning-cpp-tflite/_cm.json
@@ -120,7 +120,7 @@
     {
       "names": [
         "tensorflow",
-	"tflite"
+        "tflite"
       ],
       "tags": "get,tensorflow,lib,_tflite"
     },
diff --git a/script/app-mlperf-inference-mlcommons-python/_cm.yaml b/script/app-mlperf-inference-mlcommons-python/_cm.yaml
index df7a5a1d7..b648dc54e 100644
--- a/script/app-mlperf-inference-mlcommons-python/_cm.yaml
+++ b/script/app-mlperf-inference-mlcommons-python/_cm.yaml
@@ -295,7 +295,6 @@ deps:
     enable_if_env:
       CM_MLPERF_BACKEND:
       - tf
-      - tflite
 
   ## NCNN
   - tags: get,generic-python-lib,_package.ncnn
@@ -305,15 +304,12 @@ deps:
       CM_MLPERF_BACKEND:
       - ncnn
     
-  # - tags: get,generic-python-lib
-  #   names:
-  #   - ml-engine-tflite
-  #   enable_if_env:
-  #     CM_MLPERF_BACKEND:
-  #     - tflite
-  #     CM_MLPERF_DEVICE:
-  #     - tpu
-    
+  - tags: get,tensorflow,lib,_tflite
+    names:
+    - ml-engine-tflite
+    enable_if_env:
+      CM_MLPERF_BACKEND:
+      - tflite 
 
 
   ########################################################################
@@ -424,6 +420,8 @@ deps:
         - "on"
       CM_MLPERF_INFERENCE_API_SERVER:
         - "on"
+      CM_MLPERF_MODEL_LLAMA2_70B_DOWNLOAD_TO_HOST:
+        - 'yes'
 
   ## mixtral-8x7b
   - tags: get,ml-model,mixtral
@@ -566,6 +564,9 @@ deps:
       CM_MODEL:
       - 3d-unet-99
       - 3d-unet-99.9
+    skip_if_env:
+      CM_MLPERF_DATASET_3DUNET_DOWNLOAD_TO_HOST:
+        - 'yes'
 
   ## Librispeech for rnnt
   - tags: get,dataset,librispeech,preprocessed
@@ -701,11 +702,6 @@ variations:
       torchvision:
         tags: _rocm
 
-  rocm,sdxl:
-    add_deps:
-      mlperf-implementation:
-        tags: _repo.https://github.com/gateoverflow/inference
-
   ray:
     group: framework
     add_deps_recursive:
@@ -956,6 +952,7 @@ variations:
   llama2-70b_:
     env:
       CM_MLPERF_MODEL_SKIP_BATCHING: false
+      CM_ML_MODEL_STARTING_WEIGHTS_FILENAME: "https://github.com/mlcommons/cm4mlops/blob/b18ff890ff559e21d2e27a3b54cd26467ac1fd9e/script/get-ml-model-llama2/_cm.json#L51"
     deps:
       - tags: get,generic-python-lib,_package.transformers
         names:
@@ -981,6 +978,8 @@ variations:
       - tags: get,generic-python-lib,_package.nltk
         names:
           - nltk
+        version_max: 3.8.1
+        version_max_usable: 3.8.1
       - tags: get,generic-python-lib,_package.numpy
         names:
           - numpy
@@ -1075,6 +1074,10 @@ variations:
       CM_MLPERF_MODEL_SKIP_BATCHING: true
     deps:
     - tags: get,generic-python-lib,_package.nibabel
+    - tags: get,generic-python-lib,_package.scipy
+      names:
+        - scipy
+      version: 1.10.1
 
   dlrm-v2-99.9:
     group: models
@@ -1106,7 +1109,6 @@ variations:
         - torch
         - pytorch
         - ml-engine-pytorch
-      version: "1.13.1"
     - tags: get,generic-python-lib,_mlperf_logging
     - tags: get,generic-python-lib,_opencv-python
     - tags: get,generic-python-lib,_tensorboard
@@ -1120,15 +1122,11 @@ variations:
     - tags: get,generic-python-lib,_package.pyre-extensions
     - tags: get,generic-python-lib,_package.torchsnapshot
     - tags: get,generic-python-lib,_package.torchmetrics
-      version: "0.11.0"
     - tags: get,generic-python-lib,_package.torchrec
-      version: "0.3.2"
     - tags: get,generic-python-lib,_package.fbgemm-gpu
-      version: "0.3.2"
     - tags: get,generic-python-lib,_package.fbgemm-gpu-cpu
-      version: "0.3.2"
-    - tags: get,generic-python-lib,_package.torch
-      version: "1.13.1"
+    - tags: get,generic-python-lib,_package.fvcore
+    - tags: set,user,limit,_large-nofile
 
 
   rnnt:
diff --git a/script/app-mlperf-inference-mlcommons-python/customize.py b/script/app-mlperf-inference-mlcommons-python/customize.py
index 9d0a64955..ca97bbf0d 100644
--- a/script/app-mlperf-inference-mlcommons-python/customize.py
+++ b/script/app-mlperf-inference-mlcommons-python/customize.py
@@ -75,7 +75,7 @@ def preprocess(i):
     else:
         env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] +=  " --mlperf_conf "+ x + env['CM_MLPERF_CONF'] + x
 
-    if env.get('CM_NETWORK_LOADGEN', '') != "lon" and env.get('CM_MLPERF_INFERENCE_API_SERVER','')=='':
+    if env.get('CM_NETWORK_LOADGEN', '') != "lon" and env.get('CM_MLPERF_INFERENCE_API_SERVER','')=='' and "llama2-70b" not in env['CM_MODEL']:
         env['MODEL_DIR'] = env.get('CM_ML_MODEL_PATH')
         if not env['MODEL_DIR']:
             env['MODEL_DIR'] = os.path.dirname(env.get('CM_MLPERF_CUSTOM_MODEL_PATH', env.get('CM_ML_MODEL_FILE_WITH_PATH')))
@@ -318,7 +318,7 @@ def get_run_cmd_reference(os_info, env, scenario_extra_options, mode_extra_optio
             #env['CM_MLPERF_INFERENCE_API_SERVER'] = "http://localhost:8000"
             cmd += f" --api-server {env['CM_MLPERF_INFERENCE_API_SERVER']} --model-path {env['CM_VLLM_SERVER_MODEL_NAME']} --api-model-name {env['CM_VLLM_SERVER_MODEL_NAME']} --vllm "
         else:
-            cmd += f" --model-path {env['MODEL_DIR']}"
+            cmd += f" --model-path {env['LLAMA2_CHECKPOINT_PATH']}"
 
         if env.get('CM_MLPERF_INFERENCE_NUM_WORKERS', '') != '':
             cmd += f" --num-workers {env['CM_MLPERF_INFERENCE_NUM_WORKERS']}"
@@ -348,7 +348,7 @@ def get_run_cmd_reference(os_info, env, scenario_extra_options, mode_extra_optio
         cmd = env['CM_PYTHON_BIN_WITH_PATH']+ " run.py --backend=" + backend + " --scenario="+env['CM_MLPERF_LOADGEN_SCENARIO'] + \
             env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] + \
             " --model="+env['CM_ML_MODEL_FILE_WITH_PATH'] + \
-            " --preprocessed_data_dir="+env['CM_DATASET_PREPROCESSED_PATH'] + \
+            " --preprocessed_data_dir="+env['CM_DATASET_KITS19_PREPROCESSED_PATH'] + \
             scenario_extra_options + mode_extra_options + dataset_options
 
         env['LOG_PATH'] = env['CM_MLPERF_OUTPUT_DIR']
diff --git a/script/app-mlperf-inference-nvidia/customize.py b/script/app-mlperf-inference-nvidia/customize.py
index 917102701..f7c116b14 100644
--- a/script/app-mlperf-inference-nvidia/customize.py
+++ b/script/app-mlperf-inference-nvidia/customize.py
@@ -232,6 +232,7 @@ def preprocess(i):
             for folder in folders:
                 onnx_model_path = os.path.join(env['MLPERF_SCRATCH_PATH'], 'models', 'SDXL', 'onnx_models', folder, 'model.onnx')
                 if not os.path.exists(onnx_model_path):
+                    env['CM_REQUIRE_SDXL_MODEL_DOWNLOAD'] = 'yes'
                     cmds.append(f"make download_model BENCHMARKS='{model_name}'")
                     break
         else:
diff --git a/script/app-mlperf-inference/_cm.yaml b/script/app-mlperf-inference/_cm.yaml
index c51b5b515..2b8186c88 100644
--- a/script/app-mlperf-inference/_cm.yaml
+++ b/script/app-mlperf-inference/_cm.yaml
@@ -657,6 +657,14 @@ variations:
       - 3d-unet-accuracy-script
       tags: run,accuracy,mlperf,_kits19,_int8
 
+  3d-unet_,reference:
+    docker:
+      deps:
+        - enable_if_env:
+            CM_MLPERF_DATASET_3DUNET_DOWNLOAD_TO_HOST:
+            - 'yes'
+          tags: get,dataset,kits19,preprocessed
+
   sdxl:
     group:
       model
@@ -754,6 +762,14 @@ variations:
     add_deps_recursive:
       mlperf-inference-implementation:
         tags: _llama2-70b-99.9
+
+  llama2-70b_,reference:
+    docker:
+      deps:
+        - enable_if_env:
+            CM_MLPERF_MODEL_LLAMA2_70B_DOWNLOAD_TO_HOST:
+            - 'yes'
+          tags: get,ml-model,llama2
   
   mixtral-8x7b:
     group:
@@ -1588,6 +1604,7 @@ docker:
    - "${{ DLRM_DATA_PATH }}:/home/mlperf_inf_dlrmv2"
    - "${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}:${{ CM_NVIDIA_LLAMA_DATASET_FILE_PATH }}"
    - "${{ SDXL_CHECKPOINT_PATH }}:${{ SDXL_CHECKPOINT_PATH }}"
+   - "${{ CM_DATASET_KITS19_PREPROCESSED_PATH }}:${{ CM_DATASET_KITS19_PREPROCESSED_PATH }}"
   skip_run_cmd: 'no'
   shm_size: '32gb'
   interactive: True
diff --git a/script/build-dockerfile/_cm.yaml b/script/build-dockerfile/_cm.yaml
index 5436c6ddd..da00f24de 100644
--- a/script/build-dockerfile/_cm.yaml
+++ b/script/build-dockerfile/_cm.yaml
@@ -18,6 +18,7 @@ default_env:
 
     '
   CM_DOCKER_OS: ubuntu
+  CM_DOCKER_NOT_PULL_UPDATE: False
 
 input_mapping:
   build: CM_BUILD_DOCKER_IMAGE
@@ -48,6 +49,7 @@ input_mapping:
   script_tags: CM_DOCKER_RUN_SCRIPT_TAGS
   skip_cm_sys_upgrade: CM_DOCKER_SKIP_CM_SYS_UPGRADE
   push_image: CM_DOCKER_PUSH_IMAGE
+  docker_not_pull_update: CM_DOCKER_NOT_PULL_UPDATE
 
 new_env_keys:
 - CM_DOCKERFILE_*
diff --git a/script/build-dockerfile/customize.py b/script/build-dockerfile/customize.py
index d99e24392..896454fb9 100644
--- a/script/build-dockerfile/customize.py
+++ b/script/build-dockerfile/customize.py
@@ -2,6 +2,7 @@
 import cmind as cm
 import os
 import json
+import re
 
 def preprocess(i):
 
@@ -54,6 +55,17 @@ def preprocess(i):
 
     if env.get("CM_MLOPS_REPO", "") != "":
         cm_mlops_repo = env["CM_MLOPS_REPO"]
+        # the below pattern matches both the HTTPS and SSH git link formats
+        git_link_pattern = r'^(https?://github\.com/([^/]+)/([^/]+)\.git|git@github\.com:([^/]+)/([^/]+)\.git)$'
+        if match := re.match(git_link_pattern, cm_mlops_repo):
+            if match.group(2) and match.group(3):
+                repo_owner = match.group(2)
+                repo_name = match.group(3)
+            elif match.group(4) and match.group(5):
+                repo_owner = match.group(4)
+                repo_name = match.group(5)
+            cm_mlops_repo = f"{repo_owner}@{repo_name}"
+            print(f"Converted repo format from {env['CM_MLOPS_REPO']} to {cm_mlops_repo}")
     else:
         cm_mlops_repo = "mlcommons@cm4mlops"
 
@@ -221,12 +233,19 @@ def preprocess(i):
 
     skip_extra = False
     if 'CM_DOCKER_RUN_CMD' not in env:
+        env['CM_DOCKER_RUN_CMD']=""
         if 'CM_DOCKER_RUN_SCRIPT_TAGS' not in env:
-            env['CM_DOCKER_RUN_CMD']="cm version"
+            env['CM_DOCKER_RUN_CMD']+="cm version"
             skip_extra = True
         else:
-            env['CM_DOCKER_RUN_CMD']="cm run script --tags=" + env['CM_DOCKER_RUN_SCRIPT_TAGS']+ ' --quiet'
-
+            if str(env.get('CM_DOCKER_NOT_PULL_UPDATE', 'False')).lower() not in ["yes", "1", "true"]:
+                env['CM_DOCKER_RUN_CMD'] += "cm pull repo && " 
+            env['CM_DOCKER_RUN_CMD'] += "cm run script --tags=" + env['CM_DOCKER_RUN_SCRIPT_TAGS']+ ' --quiet'
+    else:
+        if str(env.get('CM_DOCKER_NOT_PULL_UPDATE', 'False')).lower() not in ["yes", "1", "true"]:
+            env['CM_DOCKER_RUN_CMD']="cm pull repo && " + env['CM_DOCKER_RUN_CMD']
+    
+    print(env['CM_DOCKER_RUN_CMD'])
     fake_run = env.get("CM_DOCKER_FAKE_RUN_OPTION"," --fake_run") + dockerfile_env_input_string
     fake_run = fake_run + " --fake_deps" if env.get('CM_DOCKER_FAKE_DEPS') else fake_run
 
diff --git a/script/detect-sudo/customize.py b/script/detect-sudo/customize.py
index 2f6fa411a..dbc9b8970 100644
--- a/script/detect-sudo/customize.py
+++ b/script/detect-sudo/customize.py
@@ -1,5 +1,8 @@
 from cmind import utils
 import os, subprocess
+import select
+import sys
+import grp
 
 def preprocess(i):
 
@@ -15,15 +18,103 @@ def preprocess(i):
 
     if prompt_sudo() == 0:
         env['CM_SUDO_USER'] = "yes"
+        if os.geteuid() == 0:
+            env['CM_SUDO'] = '' #root user does not need sudo
+    else:
+        if can_execute_sudo_without_password():
+            env['CM_SUDO_USER'] = "yes"
+            env['CM_SUDO'] = 'sudo'
+        else:
+            env['CM_SUDO_USER'] = "no"
+            env['CM_SUDO'] = ''
 
     return {'return':0}
 
+def can_execute_sudo_without_password():
+    try:
+        # Run a harmless command using sudo
+        result = subprocess.run(
+            ['sudo', '-n', 'true'],  # -n prevents sudo from prompting for a password
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE
+        )
+
+        # Check the return code; if it's 0, sudo executed without needing a password
+        if result.returncode == 0:
+            return True
+        else:
+            return False
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        return False
+
+
+
+def reset_terminal():
+    """Reset terminal to default settings."""
+    subprocess.run(['stty', 'sane'])
+
+def prompt_retry(timeout=10, default_retry=False):
+    """Prompt the user with a yes/no question to retry the command, with a 10-second timeout."""
+
+    # Check if we're in an interactive terminal
+    if not sys.stdin.isatty():
+        if default_retry:
+            print(f"Non-interactive environment detected. Automatically retrying.")
+        else:
+            print(f"Non-interactive environment detected. Skipping retry.")
+        return default_retry  # Automatically use the default in non-interactive terminals
+
+    print(f"Timeout occurred. Do you want to try again? (y/n): ", end='', flush=True)
+    
+    # Use select to wait for user input with a timeout
+    ready, _, _ = select.select([sys.stdin], [], [], timeout)
+    
+    if ready:
+        answer = sys.stdin.readline().strip().lower()
+        if answer in ['y', 'n']:
+            return answer == 'y'  # Return True if 'y', False if 'n'
+        print("\nInvalid input. Please enter 'y' or 'n'.")
+        return prompt_retry(timeout)  # Re-prompt on invalid input
+    else:
+        print("\nNo input received in 10 seconds. Exiting.")
+        return False  # No input within the timeout, so don't retry
+
+def is_user_in_sudo_group():
+    """Check if the current user is in the 'sudo' group."""
+    try:
+        sudo_group = grp.getgrnam('sudo').gr_mem
+        return os.getlogin() in sudo_group
+    except KeyError:
+        # 'sudo' group doesn't exist (might be different on some systems)
+        return False
+    except Exception as e:
+        print(f"Error checking sudo group: {str(e)}")
+        return False
+
 def prompt_sudo():
-    if os.geteuid() != 0:
+    if os.geteuid() != 0 or not is_user_in_sudo_group():  # No sudo required for root user
         msg = "[sudo] password for %u:"
-        return subprocess.check_call("sudo echo 'Check sudo' -p '%s'" % msg, shell=True)
-    return -1
+        while True:
+            try:
+                r = subprocess.check_output(["sudo", "-p", msg, "echo", "Check sudo"],
+                                            stderr=subprocess.STDOUT, timeout=20)
+                print(r.decode('utf-8'))  # Decode bytes to string
+                return 0
+            except subprocess.TimeoutExpired:
+                reset_terminal()  # Reset terminal to sane state
+                if not prompt_retry():  # If the user chooses not to retry or times out
+                    return -1
+            except subprocess.CalledProcessError as e:
+                print(f"Command failed: {e.output.decode('utf-8')}")
+                reset_terminal()  # Reset terminal in case of failure
+                return -1
+            except Exception as e:
+                print(f"An error occurred: {str(e)}")
+                reset_terminal()  # Always reset terminal after error
+                return -1
 
+    return 0
 
 def postprocess(i):
 
diff --git a/script/get-cuda-devices/_cm.yaml b/script/get-cuda-devices/_cm.yaml
index 64d49d95b..e0d348b83 100644
--- a/script/get-cuda-devices/_cm.yaml
+++ b/script/get-cuda-devices/_cm.yaml
@@ -55,3 +55,6 @@ variations:
       - tags: get,generic-python-lib,_package.pycuda
         names:
           - pycuda
+      - tags: get,generic-python-lib,_package.numpy
+        names:
+          - numpy
diff --git a/script/get-dlrm-data-mlperf-inference/_cm.yaml b/script/get-dlrm-data-mlperf-inference/_cm.yaml
index ab0e46e8b..f287e37db 100644
--- a/script/get-dlrm-data-mlperf-inference/_cm.yaml
+++ b/script/get-dlrm-data-mlperf-inference/_cm.yaml
@@ -17,7 +17,7 @@ new_env_keys:
 input_mapping:
   dlrm_data_path: CM_DLRM_DATA_PATH
   criteo_day23_raw_data_path: CM_CRITEO_DAY23_RAW_DATA_PATH
-  prehook_deps:
+prehook_deps:
   - tags: get,ml-model,dlrm,_pytorch
     enable_if_env:
       CM_DLRM_MODEL_DOWNLOAD:
diff --git a/script/get-generic-python-lib/_cm.json b/script/get-generic-python-lib/_cm.json
index fa78d0d96..b3757091c 100644
--- a/script/get-generic-python-lib/_cm.json
+++ b/script/get-generic-python-lib/_cm.json
@@ -73,6 +73,16 @@
   "tags_help": "get generic-python-lib",
   "uid": "94b62a682bc44791",
   "variations": {
+    "index-url.#": {
+      "env": {
+        "CM_GENERIC_PYTHON_PIP_INDEX_URL": "#"
+      }
+    },
+    "extra-index-url.#": {
+      "env": {
+        "CM_GENERIC_PYTHON_PIP_EXTRA_INDEX_URL": "#"
+      }
+    },
     "Pillow": {
       "env": {
         "CM_GENERIC_PYTHON_PACKAGE_NAME": "Pillow"
diff --git a/script/get-generic-sys-util/_cm.json b/script/get-generic-sys-util/_cm.json
index e8ed21f1f..90fba4fc9 100644
--- a/script/get-generic-sys-util/_cm.json
+++ b/script/get-generic-sys-util/_cm.json
@@ -564,7 +564,8 @@
     },
     "rsync": {
       "env": {
-        "CM_SYS_UTIL_NAME": "rsync"
+        "CM_SYS_UTIL_NAME": "rsync",
+        "CM_SYS_UTIL_CHECK_CMD": "rsync --version"
       },
       "state": {
         "rsync": {
diff --git a/script/get-mlperf-inference-loadgen/_cm.yaml b/script/get-mlperf-inference-loadgen/_cm.yaml
index 09d66d544..a097a1edd 100644
--- a/script/get-mlperf-inference-loadgen/_cm.yaml
+++ b/script/get-mlperf-inference-loadgen/_cm.yaml
@@ -40,13 +40,18 @@ deps:
     - CM_MLPERF_INFERENCE_LOADGEN_DOWNLOAD_URL
 - names:
   - compiler
-  skip_if_env:
+  skip_if_any_env:
     CM_HOST_OS_TYPE:
     - windows
+    CM_TMP_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP:
+    - 'yes'
   tags: get,compiler
 - enable_if_env:
     CM_HOST_OS_TYPE:
     - windows
+  skip_if_env:
+    CM_TMP_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP:
+    - 'yes'
   names:
   - compiler
   tags: get,cl
@@ -94,6 +99,11 @@ tags:
 - mlcommons
 
 variations:
+  from-pip:
+    env:
+      CM_TMP_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP: 'yes'
+    deps:
+    - tags: get,generic-python-lib,_package.mlcommons-loadgen
   copy:
     add_deps:
       inference-src-loadgen:
diff --git a/script/get-mlperf-inference-loadgen/customize.py b/script/get-mlperf-inference-loadgen/customize.py
index 1298e7348..077a6fae2 100644
--- a/script/get-mlperf-inference-loadgen/customize.py
+++ b/script/get-mlperf-inference-loadgen/customize.py
@@ -4,9 +4,10 @@
 def preprocess(i):
 
     os_info = i['os_info']
+    env = i['env']
 
-#    if os_info['platform'] == 'windows':
-#        return {'return':1, 'error': 'Windows is not supported in this script yet'}
+    if env.get('CM_TMP_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP', '') == 'yes':
+        i['run_script_input']['script_name'] = "donotrun"
 
     return {'return':0}
 
@@ -15,6 +16,10 @@ def postprocess(i):
     os_info = i['os_info']
     env = i['env']
 
+    if env.get('CM_TMP_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP', '') == 'yes':
+        return {'return':0}
+
+
     for key in ['+PYTHONPATH', '+C_INCLUDE_PATH', '+CPLUS_INCLUDE_PATH', '+LD_LIBRARY_PATH', '+DYLD_FALLBACK_LIBRARY_PATH']:
 #        20221024: we save and restore env in the main script and can clean env here for determinism
 #        if key not in env:
diff --git a/script/get-mlperf-inference-sut-description/_cm.json b/script/get-mlperf-inference-sut-description/_cm.json
index f9c1b0345..e5b8723c4 100644
--- a/script/get-mlperf-inference-sut-description/_cm.json
+++ b/script/get-mlperf-inference-sut-description/_cm.json
@@ -22,7 +22,13 @@
       "names": [
         "compiler"
       ],
-      "tags": "get,compiler"
+      "tags": "get,compiler",
+      "skip_if_env": {
+        "CM_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP": 
+        [
+          "yes"
+        ]
+      }
     },
     {
       "tags": "get,cuda-devices,_with-pycuda",
diff --git a/script/get-mlperf-inference-sut-description/customize.py b/script/get-mlperf-inference-sut-description/customize.py
index cc36483c6..faf8556b6 100644
--- a/script/get-mlperf-inference-sut-description/customize.py
+++ b/script/get-mlperf-inference-sut-description/customize.py
@@ -8,7 +8,7 @@ def preprocess(i):
     state = i['state']
     os_info = i['os_info']
 
-    submitter = env.get('CM_MLPERF_SUBMITTER', 'CTuning')
+    submitter = env.get('CM_MLPERF_SUBMITTER', 'MLCommons')
 
     auto_detected_hw_name = False
     if env.get('CM_HW_NAME', '') == '':
diff --git a/script/get-mlperf-inference-sut-description/detect_memory.sh b/script/get-mlperf-inference-sut-description/detect_memory.sh
index edc338c79..8a65daa13 100644
--- a/script/get-mlperf-inference-sut-description/detect_memory.sh
+++ b/script/get-mlperf-inference-sut-description/detect_memory.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
 if [[ ${CM_SUDO_USER} == "yes" ]]; then
-  sudo dmidecode -t memory > meminfo.out
+  ${CM_SUDO} dmidecode -t memory > meminfo.out
   ${CM_PYTHON_BIN_WITH_PATH} ${CM_TMP_CURRENT_SCRIPT_PATH}/get_memory_info.py
 fi
 test $? -eq 0 || return $?
diff --git a/script/get-preprocessed-dataset-kits19/customize.py b/script/get-preprocessed-dataset-kits19/customize.py
index 8de059375..c8a0914d2 100644
--- a/script/get-preprocessed-dataset-kits19/customize.py
+++ b/script/get-preprocessed-dataset-kits19/customize.py
@@ -17,5 +17,6 @@ def postprocess(i):
     env = i['env']
     if 'CM_DATASET_PREPROCESSED_PATH' not in env:
         env['CM_DATASET_PREPROCESSED_PATH'] = os.getcwd()
+        env['CM_DATASET_KITS19_PREPROCESSED_PATH'] = env['CM_DATASET_PREPROCESSED_PATH']
 
     return {'return': 0}
diff --git a/script/process-mlperf-accuracy/_cm.json b/script/process-mlperf-accuracy/_cm.json
index 7acbd4adf..cd4028a53 100644
--- a/script/process-mlperf-accuracy/_cm.json
+++ b/script/process-mlperf-accuracy/_cm.json
@@ -369,6 +369,15 @@
         },
         {
           "tags": "get,generic-python-lib,_package.ijson"
+        },
+        {
+          "tags": "get,generic-python-lib,_package.numpy",
+          "version_max": "1.22",
+          "version_max_usable": "1.22",
+          "names": [
+            "pip-package",
+            "numpy"
+          ]
         }
       ],
       "env": {
diff --git a/script/run-docker-container/customize.py b/script/run-docker-container/customize.py
index 9158fde9a..84114d7af 100644
--- a/script/run-docker-container/customize.py
+++ b/script/run-docker-container/customize.py
@@ -221,10 +221,8 @@ def postprocess(i):
         lines = docker_out.split("\n")
 
         for line in lines:
-            print(f"line = {line}")
             if line.startswith("ID="):
                 ID = line[3:]
-                print(f"My id = {ID}")
                 env['CM_DOCKER_CONTAINER_ID'] = ID
 
         print(docker_out)
diff --git a/script/run-mlperf-inference-app/_cm.yaml b/script/run-mlperf-inference-app/_cm.yaml
index efb637150..cefdf55d4 100644
--- a/script/run-mlperf-inference-app/_cm.yaml
+++ b/script/run-mlperf-inference-app/_cm.yaml
@@ -57,6 +57,7 @@ input_mapping:
   framework: CM_MLPERF_BACKEND
   gpu_name: CM_NVIDIA_GPU_NAME
   hw_name: CM_HW_NAME
+  pip_loadgen: CM_MLPERF_INFERENCE_LOADGEN_INSTALL_FROM_PIP
   hw_notes_extra: CM_MLPERF_SUT_SW_NOTES_EXTRA
   imagenet_path: IMAGENET_PATH
   implementation: CM_MLPERF_IMPLEMENTATION
diff --git a/script/run-mlperf-inference-submission-checker/customize.py b/script/run-mlperf-inference-submission-checker/customize.py
index 51bb38cfa..5c863bfca 100644
--- a/script/run-mlperf-inference-submission-checker/customize.py
+++ b/script/run-mlperf-inference-submission-checker/customize.py
@@ -7,6 +7,8 @@ def preprocess(i):
 
     os_info = i['os_info']
     env = i['env']
+    q = '"' if os_info['platform'] == 'windows' else "'"
+
     submission_dir = env.get("CM_MLPERF_INFERENCE_SUBMISSION_DIR", "")
 
     version = env.get('CM_MLPERF_SUBMISSION_CHECKER_VERSION','')
@@ -49,11 +51,11 @@ def preprocess(i):
 
     extra_args = ' ' + env.get('CM_MLPERF_SUBMISSION_CHECKER_EXTRA_ARGS','')
 
-    x_submitter = ' --submitter "' + submitter + '" ' if submitter!='' else ''
+    x_submitter = ' --submitter ' + q + submitter + q if submitter!='' else ''
 
     x_version = ' --version ' + version +' ' if version!='' else ''
 
-    CMD = env['CM_PYTHON_BIN_WITH_PATH'] + ' \'' + submission_checker_file + '\' --input \'' + submission_dir + '\'' + \
+    CMD = env['CM_PYTHON_BIN_WITH_PATH'] + ' '+ q + submission_checker_file + q +' --input ' + q + submission_dir + q + \
             x_submitter + \
             x_version + \
             skip_compliance + extra_map + power_check + extra_args
@@ -65,7 +67,7 @@ def preprocess(i):
             "generate_final_report.py")
     env['CM_RUN_CMD'] = CMD
     print(CMD)
-    env['CM_POST_RUN_CMD'] = env['CM_PYTHON_BIN_WITH_PATH'] + ' \'' + report_generator_file + '\' --input summary.csv' + \
+    env['CM_POST_RUN_CMD'] = env['CM_PYTHON_BIN_WITH_PATH'] +' ' + q + report_generator_file + q + ' --input summary.csv ' + \
             x_version + \
             x_submission_repository
 
diff --git a/script/set-user-limits/_cm.yaml b/script/set-user-limits/_cm.yaml
new file mode 100644
index 000000000..6097298c2
--- /dev/null
+++ b/script/set-user-limits/_cm.yaml
@@ -0,0 +1,14 @@
+alias: set-user-limits
+automation_alias: script
+automation_uid: 5b4e0237da074764
+cache: false
+tags:
+- set
+- user
+- limits
+- limit
+uid: 49dd1856b37342ac
+variations:
+  large-nofile:
+    env:
+      CM_ULIMIT_NOFILE: 9999
diff --git a/script/set-user-limits/customize.py b/script/set-user-limits/customize.py
new file mode 100644
index 000000000..3b67e410b
--- /dev/null
+++ b/script/set-user-limits/customize.py
@@ -0,0 +1,29 @@
+from cmind import utils
+import os
+
+def preprocess(i):
+
+    os_info = i['os_info']
+
+    env = i['env']
+
+    meta = i['meta']
+
+    automation = i['automation']
+
+    quiet = (env.get('CM_QUIET', False) == 'yes')
+
+    cmds = []
+
+    if env.get('CM_ULIMIT_NOFILE', '') != '':
+        cmds.append(f"ulimit -n {env['CM_ULIMIT_NOFILE']}")
+
+    env['CM_RUN_CMD'] = " && ".join(cmds)
+
+    return {'return':0}
+
+def postprocess(i):
+
+    env = i['env']
+
+    return {'return':0}
diff --git a/script/set-user-limits/run.sh b/script/set-user-limits/run.sh
new file mode 100644
index 000000000..4c23c380e
--- /dev/null
+++ b/script/set-user-limits/run.sh
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+#CM Script location: ${CM_TMP_CURRENT_SCRIPT_PATH}
+
+#To export any variable
+#echo "VARIABLE_NAME=VARIABLE_VALUE" >>tmp-run-env.out
+
+#${CM_PYTHON_BIN_WITH_PATH} contains the path to python binary if "get,python" is added as a dependency
+
+echo "Running: "
+echo "${CM_RUN_CMD}"
+echo ""
+
+if [[ ${CM_FAKE_RUN} != "yes" ]]; then
+  eval "${CM_RUN_CMD}"
+  test $? -eq 0 || exit 1
+fi