diff --git a/modelopt_recipes/configs/ptq/units/default_disabled_quantizers.yaml b/modelopt_recipes/configs/ptq/units/default_disabled_quantizers.yaml
index 87fd67300fa..5e48dc73b7e 100644
--- a/modelopt_recipes/configs/ptq/units/default_disabled_quantizers.yaml
+++ b/modelopt_recipes/configs/ptq/units/default_disabled_quantizers.yaml
@@ -43,10 +43,13 @@
   # Multimodal vision branch: keep the vision encoder (SigLIP / ViT) and any
   # multimodal embedding projection in BF16 by default. Recipes that enable bare
   # `*weight_quantizer` / `*input_quantizer` or `*mlp*` wildcards otherwise also
-  # match the vision tower (`model.vision_tower.*`, `model.visual.*`) and the
-  # embedding projection (`model.embed_vision.*`); quantizing the vision branch
-  # crashes export / produces garbage image embeddings on VL models (gemma-4,
-  # Qwen3.5-VL — NVBugs 6293731, 6293762, 6294017). A recipe that intentionally
+  # match the vision tower (`model.vision_tower.*`, `model.visual.*`,
+  # Llama-4 `vision_model.*`) and the embedding projection (`model.embed_vision.*`,
+  # Llama-4 `multi_modal_projector.*`); quantizing the vision branch crashes
+  # export / produces garbage image embeddings on VL models (gemma-4,
+  # Qwen3.5-VL — NVBugs 6293731, 6293762, 6294017; Llama-4-Scout — NVBugs
+  # 6359097, where `vision_model.patch_embedding.linear` has in_features=588,
+  # not divisible by the NVFP4 block size). A recipe that intentionally
   # quantizes vision must re-enable these after importing this unit.
   - quantizer_name: '*embed_vision*'
     enable: false
@@ -54,6 +57,10 @@
     enable: false
   - quantizer_name: '*visual*'
     enable: false
+  - quantizer_name: '*vision_model*'
+    enable: false
+  - quantizer_name: '*multi_modal_projector*'
+    enable: false
   - parent_class: 'nn.BatchNorm1d'
     quantizer_name: '*'
     enable: false