@@ -763,7 +763,7 @@ See [this page](#generative-models) for more information on how to use generativ
*`google/gemma-3-4b-it`, `google/gemma-3-27b-it`, etc.
* ✅︎
* ✅︎
* ⚠️
*
-*`GLM4VForCausalLM`<sup>^</sup>
* GLM-4V
* T + I
...
...
@@ -948,8 +948,11 @@ V1 currently uses a simplified attention pattern:
- Uses causal attention for all tokens, including image tokens
- Generates reasonable outputs but does not match the original model's attention for text + image inputs
- Will be updated in the future to support the correct behavior
- Does not support `"do_pan_and_scan": True`
This limitation exists because the model's mixed attention pattern (bidirectional for images, causal otherwise) is not yet supported by vLLM's attention backends.
For these reasons, `Gemma3ForConditionalGeneration` is supported only on V0 at the moment.