A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 04:45 UTC
Revert "Fix(models/siglip): Add compatibility for Gemma models quantized by llm-compressor" (#20030)
Isotr0py committed
Jun 25, 2025 at 11:23 UTC
2273ec322cddb59431a124bb982340870ed06920
1 file changed
-1
vllm/model_executor/models/gemma3_mm.py
-1
@@ -479,7 +479,6 @@ class Gemma3ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP,
479
"model.vision_tower.": "vision_tower.",
480
"model.multi_modal_projector.": "multi_modal_projector.",
481
"lm_head.": "language_model.lm_head.",
482
- "vision_tower.vision_model.": "vision_model.",
482
})
483
484
def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):