diff --git a/.github/workflows/test-mlperf-inference-abtf-poc.yml b/.github/workflows/test-mlperf-inference-abtf-poc.yml
index e5a1821..61c5cc8 100644
--- a/.github/workflows/test-mlperf-inference-abtf-poc.yml
+++ b/.github/workflows/test-mlperf-inference-abtf-poc.yml
@@ -91,7 +91,7 @@ jobs:
         cm pull repo --url=${{ github.event.pull_request.head.repo.html_url }} --checkout=${{ github.event.pull_request.head.ref }}
     - name: Test MLPerf Inference ABTF POC using ${{ matrix.backend }} natively
       run: |
-        cm run script --tags=run-abtf,inference,_poc-demo --quiet --env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off --adr.raw-dataset-mlcommons-cognata.tags=_gdrive -v 
+        cm run script --tags=run-abtf,inference,_poc-demo --quiet --env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off --adr.raw-dataset-mlcommons-cognata.tags=_gdrive --adr.ml-model-abtf.tags=_gdrive -v 
 
     
   
diff --git a/docs/index.md b/docs/index.md
index acc5781..06e50f8 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -8,7 +8,7 @@ For ease of use, many of the benchmark components are packaged in a container wh
 
 To try out the POC reference yourself, please visit the [Run](run/index.md) section. The POC reference only has 20 frames, to see the object detection model run on an entire sequence, follow this link:
 
-* TODO: Add MLCommons YouTube clip
+[![Object Detection](https://img.youtube.com/vi/ZteVUJkTtno/0.jpg)](https://www.youtube.com/watch?v=ZteVUJkTtno)
 
 In the sections below the components of the benchmark are described.
 
diff --git a/docs/run/index.md b/docs/run/index.md
index 5068f22..2848efd 100644
--- a/docs/run/index.md
+++ b/docs/run/index.md
@@ -42,20 +42,28 @@ By running the script below, you are downloading the POC container and dataset,
 === "Docker"
     ### Docker
 
+    Set up docker
     ```bash
     cm run script --tags=run-abtf,_poc-demo --quiet \
      --docker --docker_cache=no
     ```
 
     !!! tip
-        * Use `--rerun` to force overwrite the previously generated results
         * Use `--env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off` to use the prebuilt MLPerf Loadgen binary and not do a source compilation
         * Use `--docker_os=[rhel|arch|ubuntu]` to change the docker OS
         * Use `--docker_os_version=[8|9]` for `RHEL`, `[24.04|22.04|20.04]` for `ubuntu` and `[latest]` for `arch`  
         * Use `--docker_base_image=[IMAGE_NAME]` to override the default base image for docker
         * Github actions for this run can be seen [here](https://github.com/mlcommons/cm4abtf/actions/workflows/test-mlperf-inference-abtf-poc.yml)
-    We have tested the workflow via docker on Ubuntu 24.04, Ubuntu 22.04, Ubuntu 20.04 and macOS 14
 
+    Run Command (inside docker)
+    ```bash
+    cm run script --tags=run-abtf,_poc-demo --quiet
+    ```
+    !!! tip
+        * Use `--rerun` to force overwrite the previously generated results
+        * Use `--env.CM_MLPERF_LOADGEN_BUILD_FROM_SRC=off` to use the prebuilt MLPerf Loadgen binary and not do a source compilation
+
+    We have tested the workflow via docker on Ubuntu 24.04, Ubuntu 22.04, Ubuntu 20.04, Windows 11 and macOS 14
 === "Native"
     ### Native
 
diff --git a/script/get-ml-model-abtf-ssd-pytorch/_cm.yaml b/script/get-ml-model-abtf-ssd-pytorch/_cm.yaml
index 77856b6..5c34477 100644
--- a/script/get-ml-model-abtf-ssd-pytorch/_cm.yaml
+++ b/script/get-ml-model-abtf-ssd-pytorch/_cm.yaml
@@ -114,16 +114,26 @@ variations:
 
   abtf-poc:
     default_variations:
-      download-tool: gdown
+      download-tool: rclone
     env:
       CM_ML_MODEL: abtf-ssd-pytorch
       CM_ML_MODEL_CHECKSUM: 26845c3b9573ce115ef29dca4ae5be14
       CM_ML_MODEL_DATASET: cognata
       CM_ML_MODEL_FILENAME: baseline_8MP_ss_scales_fm1_5x5_all_ep60.pth
       CM_ML_MODEL_IMAGE_SIZE: '8M'
-      CM_ML_MODEL_URL: https://drive.google.com/file/d/1kfJR_bs54KONprVd51kZu0PYmmh1wZZa/view
     group: model-weights
 
+  abtf-poc,gdrive:
+    env:
+      CM_ML_MODEL_URL: https://drive.google.com/file/d/1kfJR_bs54KONprVd51kZu0PYmmh1wZZa/view
+
+  abtf-poc,rclone:
+    env:
+      CM_RCLONE_COPY_USING: copyurl
+      CM_ML_MODEL_URL: https://automotive.mlcommons-storage.org/SSD_ResNet50%2Fbaseline_8MP_ss_scales_fm1_5x5_all_ep60.pth
+      CM_RCLONE_CONFIG_CMD: ''
+
+
   local.#:
     env:
       CM_ML_MODEL_FILENAME: '#'
@@ -141,6 +151,14 @@ variations:
     env:
       CM_SKIP_MODEL_CODE_DOWNLOAD: 'yes'
 
+  rclone:
+    group: download-tool
+    env:
+      CM_RCLONE_COPY_USING: copyurl
+    adr:
+      abtf-ml-model-weights-download:
+        tags: _rclone
+
   wget:
     group: download-tool
     default: true