diff --git a/examples/model-conversion/scripts/embedding/run-original-model.py b/examples/model-conversion/scripts/embedding/run-original-model.py
index 614c1a86b9a5..001d58896553 100755
--- a/examples/model-conversion/scripts/embedding/run-original-model.py
+++ b/examples/model-conversion/scripts/embedding/run-original-model.py
@@ -64,7 +64,7 @@ def load_model_and_tokenizer(model_path, use_sentence_transformers=False, device
         print("Using SentenceTransformer to apply all numbered layers")
         model = SentenceTransformer(model_path)
         tokenizer = model.tokenizer
-        config = model[0].auto_model.config
+        config = model[0].auto_model.config  # ty: ignore[unresolved-attribute]
     else:
         tokenizer = AutoTokenizer.from_pretrained(model_path)
         config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)
diff --git a/requirements/requirements-convert_hf_to_gguf.txt b/requirements/requirements-convert_hf_to_gguf.txt
index 122b4788d919..f80fdc1f6402 100644
--- a/requirements/requirements-convert_hf_to_gguf.txt
+++ b/requirements/requirements-convert_hf_to_gguf.txt
@@ -1,8 +1,8 @@
 -r ./requirements-convert_legacy_llama.txt
 --extra-index-url https://download.pytorch.org/whl/cpu
 
-## Embedding Gemma requires PyTorch 2.6.0 or later
-torch~=2.6.0; platform_machine != "s390x"
+## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
+torch==2.11.0; platform_machine != "s390x"
 
 # torch s390x packages can only be found from nightly builds
 --extra-index-url https://download.pytorch.org/whl/nightly
diff --git a/tools/mtmd/requirements.txt b/tools/mtmd/requirements.txt
index 0a1f4e864776..f26d8e912a37 100644
--- a/tools/mtmd/requirements.txt
+++ b/tools/mtmd/requirements.txt
@@ -1,5 +1,12 @@
 -r ../../requirements/requirements-convert_legacy_llama.txt
 --extra-index-url https://download.pytorch.org/whl/cpu
 pillow~=11.3.0
-torch~=2.6.0
-torchvision~=0.21.0
+
+## Embedding Gemma requires PyTorch 2.6.0 or later, bumped to 2.11.0 for compatibility
+torch==2.11.0; platform_machine != "s390x" # check_requirements: ignore "=="
+torchvision==0.26.0; platform_machine != "s390x" # check_requirements: ignore "=="
+
+# torch s390x packages can only be found from nightly builds
+--extra-index-url https://download.pytorch.org/whl/nightly
+torch>=0.0.0.dev0; platform_machine == "s390x" # check_requirements: ignore "=="
+torchvision>=0.0.0.dev0; platform_machine == "s390x" # check_requirements: ignore "=="