diff --git a/gallery/how_to/compile_models/from_mxnet.py b/gallery/how_to/compile_models/from_mxnet.py
index 0694d2aed081..132f098d9291 100644
--- a/gallery/how_to/compile_models/from_mxnet.py
+++ b/gallery/how_to/compile_models/from_mxnet.py
@@ -37,6 +37,7 @@
 # sphinx_gallery_start_ignore
 # sphinx_gallery_requires_cuda = True
 # sphinx_gallery_end_ignore
+import sys
 import mxnet as mx
 import tvm
 import tvm.relay as relay
@@ -51,7 +52,12 @@
 from PIL import Image
 from matplotlib import pyplot as plt
 
-block = get_model("resnet18_v1", pretrained=True)
+try:
+    block = get_model("resnet18_v1", pretrained=True)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
+
 img_url = "https://github.com/dmlc/mxnet.js/blob/main/data/cat.png?raw=true"
 img_name = "cat.png"
 synset_url = "".join(
diff --git a/gallery/how_to/deploy_models/deploy_model_on_nano.py b/gallery/how_to/deploy_models/deploy_model_on_nano.py
index abd0b3fab61d..761187e2d711 100644
--- a/gallery/how_to/deploy_models/deploy_model_on_nano.py
+++ b/gallery/how_to/deploy_models/deploy_model_on_nano.py
@@ -106,12 +106,18 @@
 # `MXNet Gluon model zoo <https://mxnet.apache.org/api/python/gluon/model_zoo.html>`_.
 # You can found more details about this part at tutorial :ref:`tutorial-from-mxnet`.
 
+import sys
+
 from mxnet.gluon.model_zoo.vision import get_model
 from PIL import Image
 import numpy as np
 
 # one line to get the model
-block = get_model("resnet18_v1", pretrained=True)
+try:
+    block = get_model("resnet18_v1", pretrained=True)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 
 ######################################################################
 # In order to test our model, here we download an image of cat and
diff --git a/gallery/how_to/deploy_models/deploy_model_on_rasp.py b/gallery/how_to/deploy_models/deploy_model_on_rasp.py
index de4ed9aff074..5196ae9ce1c6 100644
--- a/gallery/how_to/deploy_models/deploy_model_on_rasp.py
+++ b/gallery/how_to/deploy_models/deploy_model_on_rasp.py
@@ -99,12 +99,18 @@
 # `MXNet Gluon model zoo <https://mxnet.apache.org/api/python/gluon/model_zoo.html>`_.
 # You can found more details about this part at tutorial :ref:`tutorial-from-mxnet`.
 
+import sys
+
 from mxnet.gluon.model_zoo.vision import get_model
 from PIL import Image
 import numpy as np
 
 # one line to get the model
-block = get_model("resnet18_v1", pretrained=True)
+try:
+    block = get_model("resnet18_v1", pretrained=True)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 
 ######################################################################
 # In order to test our model, here we download an image of cat and
diff --git a/gallery/how_to/deploy_models/deploy_quantized.py b/gallery/how_to/deploy_models/deploy_quantized.py
index f1b45dd7c158..2cdb7da5f84c 100644
--- a/gallery/how_to/deploy_models/deploy_quantized.py
+++ b/gallery/how_to/deploy_models/deploy_quantized.py
@@ -27,6 +27,9 @@
 Relay, quantize the Relay model and then perform the inference.
 """
 
+import logging
+import os
+import sys
 
 import tvm
 from tvm import te
@@ -34,8 +37,7 @@
 import mxnet as mx
 from tvm.contrib.download import download_testdata
 from mxnet import gluon
-import logging
-import os
+
 
 batch_size = 1
 model_name = "resnet18_v1"
@@ -157,7 +159,11 @@ def run_inference(mod):
 
 
 def main():
-    mod, params = get_model()
+    try:
+        mod, params = get_model()
+    except RuntimeError:
+        print("Downloads from mxnet no longer supported", file=sys.stderr)
+        return
     mod = quantize(mod, params, data_aware=True)
     run_inference(mod)
 
diff --git a/gallery/how_to/extend_tvm/bring_your_own_datatypes.py b/gallery/how_to/extend_tvm/bring_your_own_datatypes.py
index f5ff89717c1a..e502aff3e013 100644
--- a/gallery/how_to/extend_tvm/bring_your_own_datatypes.py
+++ b/gallery/how_to/extend_tvm/bring_your_own_datatypes.py
@@ -58,6 +58,8 @@
 # --------------------
 #
 # We'll begin by writing a simple program in TVM; afterwards, we will re-write it to use custom datatypes.
+import sys
+
 import tvm
 from tvm import relay
 
@@ -253,7 +255,11 @@ def get_cat_image():
     return np.asarray(img, dtype="float32")
 
 
-module, params = get_mobilenet()
+try:
+    module, params = get_mobilenet()
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 
 ######################################################################
 # It's easy to execute MobileNet with native TVM:
diff --git a/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py b/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
index adc9c9fbb2e8..0b59038f19a7 100644
--- a/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
+++ b/gallery/how_to/tune_with_autoscheduler/tune_network_arm.py
@@ -49,6 +49,7 @@
 
 import numpy as np
 import os
+import sys
 
 import tvm
 from tvm import relay, auto_scheduler
@@ -264,9 +265,13 @@ def get_network(name, batch_size, layout="NHWC", dtype="float32", use_sparse=Fal
 
 # Extract tasks from the network
 print("Get model...")
-mod, params, input_shape, output_shape = get_network(
-    network, batch_size, layout, dtype=dtype, use_sparse=use_sparse
-)
+try:
+    mod, params, input_shape, output_shape = get_network(
+        network, batch_size, layout, dtype=dtype, use_sparse=use_sparse
+    )
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 print("Extract tasks...")
 tasks, task_weights = auto_scheduler.extract_tasks(mod["main"], params, target)
 
diff --git a/gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py b/gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py
index 670996410359..41e7e8fb41b9 100644
--- a/gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py
+++ b/gallery/how_to/tune_with_autoscheduler/tune_network_cuda.py
@@ -44,7 +44,7 @@
 __name__ == "__main__":` block.
 """
 
-
+import sys
 import numpy as np
 
 import tvm
@@ -152,7 +152,11 @@ def get_network(name, batch_size, layout="NHWC", dtype="float32"):
 
 # Extract tasks from the network
 print("Extract tasks...")
-mod, params, input_shape, output_shape = get_network(network, batch_size, layout, dtype=dtype)
+try:
+    mod, params, input_shape, output_shape = get_network(network, batch_size, layout, dtype=dtype)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 tasks, task_weights = auto_scheduler.extract_tasks(mod["main"], params, target)
 
 for idx, task in enumerate(tasks):
diff --git a/gallery/how_to/tune_with_autoscheduler/tune_network_mali.py b/gallery/how_to/tune_with_autoscheduler/tune_network_mali.py
index ab754ea30ff3..1c531a530303 100644
--- a/gallery/how_to/tune_with_autoscheduler/tune_network_mali.py
+++ b/gallery/how_to/tune_with_autoscheduler/tune_network_mali.py
@@ -44,6 +44,8 @@
 __name__ == "__main__":` block.
 """
 
+import os
+import sys
 
 import numpy as np
 
@@ -51,7 +53,7 @@
 from tvm import relay, auto_scheduler
 import tvm.relay.testing
 from tvm.contrib import graph_executor
-import os
+
 
 #################################################################
 # Define a Network
@@ -169,7 +171,11 @@ def get_network(name, batch_size, layout="NHWC", dtype="float32"):
 
 # Extract tasks from the network
 print("Extract tasks...")
-mod, params, input_shape, output_shape = get_network(network, batch_size, layout, dtype=dtype)
+try:
+    mod, params, input_shape, output_shape = get_network(network, batch_size, layout, dtype=dtype)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 tasks, task_weights = auto_scheduler.extract_tasks(mod["main"], params, target)
 
 for idx, task in enumerate(tasks):
diff --git a/gallery/how_to/tune_with_autoscheduler/tune_network_x86.py b/gallery/how_to/tune_with_autoscheduler/tune_network_x86.py
index 6eb1b79bfe0a..96df3942ab91 100644
--- a/gallery/how_to/tune_with_autoscheduler/tune_network_x86.py
+++ b/gallery/how_to/tune_with_autoscheduler/tune_network_x86.py
@@ -45,6 +45,7 @@
 __name__ == "__main__":` block.
 """
 
+import sys
 
 import numpy as np
 
@@ -168,13 +169,18 @@ def get_network(name, batch_size, layout="NHWC", dtype="float32", use_sparse=Fal
 
 # Extract tasks from the network
 print("Get model...")
-mod, params, input_shape, output_shape = get_network(
-    network,
-    batch_size,
-    layout,
-    dtype=dtype,
-    use_sparse=use_sparse,
-)
+try:
+    mod, params, input_shape, output_shape = get_network(
+        network,
+        batch_size,
+        layout,
+        dtype=dtype,
+        use_sparse=use_sparse,
+    )
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
+
 print("Extract tasks...")
 tasks, task_weights = auto_scheduler.extract_tasks(mod["main"], params, target)
 
diff --git a/rust/tvm/examples/resnet/build.rs b/rust/tvm/examples/resnet/build.rs
index 9e3a76433ffc..45e4d6d658d5 100644
--- a/rust/tvm/examples/resnet/build.rs
+++ b/rust/tvm/examples/resnet/build.rs
@@ -21,6 +21,10 @@ use anyhow::{Context, Result};
 use std::{io::Write, path::Path, process::Command};
 
 fn main() -> Result<()> {
+    // Currently disabled, as it depends on the no-longer-supported
+    // mxnet repo to download resnet.
+
+    /*
     let out_dir = std::env::var("CARGO_MANIFEST_DIR")?;
     let python_script = concat!(env!("CARGO_MANIFEST_DIR"), "/src/build_resnet.py");
     let synset_txt = concat!(env!("CARGO_MANIFEST_DIR"), "/synset.txt");
@@ -53,5 +57,7 @@ fn main() -> Result<()> {
     );
     println!("cargo:rustc-link-search=native={}", out_dir);
 
+    */
+
     Ok(())
 }
diff --git a/rust/tvm/examples/resnet/src/main.rs b/rust/tvm/examples/resnet/src/main.rs
index c22d55f2e4da..0ea8c4cf8bb5 100644
--- a/rust/tvm/examples/resnet/src/main.rs
+++ b/rust/tvm/examples/resnet/src/main.rs
@@ -31,6 +31,10 @@ use tvm_rt::graph_rt::GraphRt;
 use tvm_rt::*;
 
 fn main() -> anyhow::Result<()> {
+    // Currently disabled, as it depends on the no-longer-supported
+    // mxnet repo to download resnet.
+
+    /*
     let dev = Device::cpu(0);
     println!("{}", concat!(env!("CARGO_MANIFEST_DIR"), "/cat.png"));
 
@@ -134,6 +138,7 @@ fn main() -> anyhow::Result<()> {
         "input image belongs to the class `{}` with probability {}",
         label, max_prob
     );
+    */
 
     Ok(())
 }
diff --git a/tests/python/frontend/mxnet/test_forward.py b/tests/python/frontend/mxnet/test_forward.py
index 880416c7bee8..cf206a3d5261 100644
--- a/tests/python/frontend/mxnet/test_forward.py
+++ b/tests/python/frontend/mxnet/test_forward.py
@@ -42,7 +42,10 @@ def verify_mxnet_frontend_impl(
     if gluon_impl:
 
         def get_gluon_output(name, x):
-            net = vision.get_model(name)
+            try:
+                net = vision.get_model(name)
+            except RuntimeError:
+                pytest.skip(reason="mxnet downloads no longer supported")
             net.collect_params().initialize(mx.init.Xavier())
             net_sym = gluon.nn.SymbolBlock(
                 outputs=net(mx.sym.var("data")),
diff --git a/tests/python/nightly/quantization/test_quantization_accuracy.py b/tests/python/nightly/quantization/test_quantization_accuracy.py
index 66153831d8ff..7eebdd17f2eb 100644
--- a/tests/python/nightly/quantization/test_quantization_accuracy.py
+++ b/tests/python/nightly/quantization/test_quantization_accuracy.py
@@ -14,15 +14,19 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+
 from collections import namedtuple
-import tvm
-from tvm import relay
-from tvm.relay import quantize as qtz
-import mxnet as mx
-from mxnet import gluon
 import logging
 import os
+
+import mxnet as mx
+from mxnet import gluon
+import pytest
+
+import tvm
 import tvm.testing
+from tvm import relay
+from tvm.relay import quantize as qtz
 
 logging.basicConfig(level=logging.INFO)
 
@@ -69,7 +73,10 @@ def batch_fn(batch, ctx):
 
 
 def get_model(model_name, batch_size, qconfig, original=False):
-    gluon_model = gluon.model_zoo.vision.get_model(model_name, pretrained=True)
+    try:
+        gluon_model = gluon.model_zoo.vision.get_model(model_name, pretrained=True)
+    except RuntimeError:
+        pytest.skip(reason="mxnet downloads no longer supported")
     img_size = 299 if model_name == "inceptionv3" else 224
     data_shape = (batch_size, 3, img_size, img_size)
     mod, params = relay.frontend.from_mxnet(gluon_model, {"data": data_shape})
diff --git a/vta/scripts/tune_resnet.py b/vta/scripts/tune_resnet.py
index 2c284f05a0de..7fa6ec42ce8a 100644
--- a/vta/scripts/tune_resnet.py
+++ b/vta/scripts/tune_resnet.py
@@ -17,7 +17,7 @@
 
 """Perform ResNet autoTVM tuning on VTA using Relay."""
 
-import argparse, os, time
+import argparse, os, sys, time
 from mxnet.gluon.model_zoo import vision
 import numpy as np
 from PIL import Image
@@ -285,7 +285,11 @@ def tune_tasks(
 
     # Compile Relay program
     print("Initial compile...")
-    relay_prog, params = compile_network(opt, env, target)
+    try:
+        relay_prog, params = compile_network(opt, env, target)
+    except RuntimeError:
+        print("Downloads from mxnet no longer supported", file=sys.stderr)
+        sys.exit(0)
 
     # Register VTA tuning tasks
     register_vta_tuning_tasks()
diff --git a/vta/tutorials/autotvm/tune_alu_vta.py b/vta/tutorials/autotvm/tune_alu_vta.py
index 8a4db13ac409..8ee58fe990a0 100644
--- a/vta/tutorials/autotvm/tune_alu_vta.py
+++ b/vta/tutorials/autotvm/tune_alu_vta.py
@@ -20,6 +20,7 @@
 """
 
 import os
+import sys
 from mxnet.gluon.model_zoo import vision
 import numpy as np
 from PIL import Image
@@ -337,4 +338,8 @@ def tune_and_evaluate(tuning_opt):
 
 
 # Run the tuning and evaluate the results
-tune_and_evaluate(tuning_option)
+try:
+    tune_and_evaluate(tuning_option)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
diff --git a/vta/tutorials/autotvm/tune_relay_vta.py b/vta/tutorials/autotvm/tune_relay_vta.py
index dc5bd462276d..b5de247883c2 100644
--- a/vta/tutorials/autotvm/tune_relay_vta.py
+++ b/vta/tutorials/autotvm/tune_relay_vta.py
@@ -54,6 +54,8 @@
 # Now return to python code. Import packages.
 
 import os
+import sys
+
 from mxnet.gluon.model_zoo import vision
 import numpy as np
 from PIL import Image
@@ -471,7 +473,11 @@ def tune_and_evaluate(tuning_opt):
 
 
 # Run the tuning and evaluate the results
-tune_and_evaluate(tuning_option)
+try:
+    tune_and_evaluate(tuning_option)
+except RuntimeError:
+    print("Downloads from mxnet no longer supported", file=sys.stderr)
+    sys.exit(0)
 
 ######################################################################
 # Sample Output
diff --git a/vta/tutorials/frontend/deploy_classification.py b/vta/tutorials/frontend/deploy_classification.py
index f1e4926a3240..c741a1678f1e 100644
--- a/vta/tutorials/frontend/deploy_classification.py
+++ b/vta/tutorials/frontend/deploy_classification.py
@@ -43,6 +43,7 @@
 import argparse, json, os, requests, sys, time
 from io import BytesIO
 from os.path import join, isfile
+import sys
 from PIL import Image
 
 from mxnet.gluon.model_zoo import vision
@@ -163,7 +164,11 @@
     shape_dict = {"data": (env.BATCH, 3, 224, 224)}
 
     # Get off the shelf gluon model, and convert to relay
-    gluon_model = vision.get_model(model, pretrained=True)
+    try:
+        gluon_model = vision.get_model(model, pretrained=True)
+    except RuntimeError:
+        print("Downloads from mxnet no longer supported", file=sys.stderr)
+        sys.exit(0)
 
     # Measure build start time
     build_start = time.time()