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Gemma3n audio only #4

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ywang96 wants to merge 2 commits into from
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Gemma3n audio only #4

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ywang96 Oct 7, 2025
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ywang96 Oct 7, 2025
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23 changes: 18 additions & 5 deletions vllm/model_executor/models/gemma3n_mm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -503,11 +503,17 @@ def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
self.multimodal_config = multimodal_config
self.vocab_size = config.text_config.vocab_size

self.vision_tower = AutoModel.from_config(config=config.vision_config)
image_limit = multimodal_config.get_limit_per_prompt("image")
if image_limit:
self.vision_tower = AutoModel.from_config(config=config.vision_config)
self.embed_vision = Gemma3nMultimodalEmbedder(
config.vision_config, config.text_config
)
else:
self.vision_tower = None
self.embed_vision = None

self.audio_tower = AutoModel.from_config(config=config.audio_config)
self.embed_vision = Gemma3nMultimodalEmbedder(
config.vision_config, config.text_config
)
self.embed_audio = Gemma3nMultimodalEmbedder(
config.audio_config, config.text_config
)
Expand Down Expand Up @@ -584,6 +590,7 @@ def _process_image_input(
image_input: Gemma3nImageInputs,
) -> list[torch.Tensor]:
assert self.vision_tower is not None
assert self.embed_vision is not None

pixel_values = image_input["pixel_values"]
vision_outputs = self.vision_tower(
Expand Down Expand Up @@ -735,7 +742,13 @@ def compute_logits(
return self.language_model.compute_logits(hidden_states)

def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]:
loader = AutoWeightsLoader(self)
skip_prefixes = []
if self.vision_tower is None:
skip_prefixes.append("vision_tower.")
if self.embed_vision is None:
skip_prefixes.append("embed_vision.")

loader = AutoWeightsLoader(self, skip_prefixes=skip_prefixes)
return loader.load_weights(weights, mapper=self.hf_to_vllm_mapper)

def get_mm_mapping(self) -> MultiModelKeys:
Expand Down