diff --git a/docs/models/supported_models.md b/docs/models/supported_models.md
index d726b5350f807..9039c0480547e 100644
--- a/docs/models/supported_models.md
+++ b/docs/models/supported_models.md
@@ -736,37 +736,6 @@ Some models are supported only via the [Transformers backend](#transformers). Th
 !!! note
     To use `TIGER-Lab/Mantis-8B-siglip-llama3`, you have to pass `--hf_overrides '{"architectures": ["MantisForConditionalGeneration"]}'` when running vLLM.
 
-!!! warning
-    The output quality of `AllenAI/Molmo-7B-D-0924` (especially in object localization tasks) has deteriorated in recent updates.
-
-    For the best results, we recommend using the following dependency versions (tested on A10 and L40):
-
-    ??? code "Dependency versions"
-
-        ```text
-        # Core vLLM-compatible dependencies with Molmo accuracy setup (tested on L40)
-        torch==2.5.1
-        torchvision==0.20.1
-        transformers==4.48.1
-        tokenizers==0.21.0
-        tiktoken==0.7.0
-        vllm==0.7.0
-
-        # Optional but recommended for improved performance and stability
-        triton==3.1.0
-        xformers==0.0.28.post3
-        uvloop==0.21.0
-        protobuf==5.29.3
-        openai==1.60.2
-        opencv-python-headless==4.11.0.86
-        pillow==10.4.0
-
-        # Installed FlashAttention (for float16 only)
-        flash-attn>=2.5.6  # Not used in float32, but should be documented
-        ```
-
-    **Note:** Make sure you understand the security implications of using outdated packages.
-
 !!! note
     The official `openbmb/MiniCPM-V-2` doesn't work yet, so we need to use a fork (`HwwwH/MiniCPM-V-2`) for now.
     For more details, please see: <https://github.com/vllm-project/vllm/pull/4087#issuecomment-2250397630>