fix: gemma 3 not use softcap (#5622)
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@@ -78,6 +78,11 @@ class ModelConfig:
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logger.info(
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"Multimodal is disabled for Llama4. To enable it, set --enable-llama4-multimodal."
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)
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elif self.hf_config.architectures[0] == "Gemma3ForConditionalGeneration":
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enable_multimodal = False
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logger.info(
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"Multimodal is disabled for Gemma3. To enable it, set --enable-gemma3-multimodal."
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)
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else:
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enable_multimodal = True
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@@ -189,7 +189,7 @@ class Gemma3Attention(nn.Module):
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self.scaling,
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num_kv_heads=self.num_kv_heads,
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layer_id=layer_id,
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logit_cap=getattr(self.config, "attn_logit_softcapping", None),
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logit_cap=0.0,
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# Module must also define `get_attention_sliding_window_size` to correctly initialize
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# attention backend in `ForwardBatch`.
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sliding_window_size=self.sliding_window,
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@@ -154,6 +154,7 @@ class ServerArgs:
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disable_outlines_disk_cache: bool = False
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disable_custom_all_reduce: bool = False
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enable_llama4_multimodal: Optional[bool] = None
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enable_gemma3_multimodal: Optional[bool] = None
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disable_overlap_schedule: bool = False
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enable_mixed_chunk: bool = False
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enable_dp_attention: bool = False
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@@ -285,7 +286,9 @@ class ServerArgs:
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if self.grammar_backend is None:
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self.grammar_backend = "xgrammar"
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self.enable_multimodal: Optional[bool] = self.enable_llama4_multimodal
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self.enable_multimodal: Optional[bool] = (
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self.enable_llama4_multimodal or self.enable_gemma3_multimodal
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)
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# Data parallelism attention
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if self.enable_dp_attention:
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@@ -984,6 +987,12 @@ class ServerArgs:
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action="store_true",
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help="Enable the multimodal functionality for Llama-4.",
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)
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parser.add_argument(
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"--enable-gemma3-multimodal",
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default=ServerArgs.enable_gemma3_multimodal,
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action="store_true",
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help="Enable the multimodal functionality for Gemma-3.",
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)
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parser.add_argument(
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"--disable-overlap-schedule",
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action="store_true",
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@@ -1971,6 +1971,7 @@ def is_fa3_default_architecture(hf_config):
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"LlamaForCausalLM",
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"MistralForCausalLM",
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"Gemma2ForCausalLM",
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"Gemma3ForConditionalGeneration",
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}
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return architectures[0] in default_archs
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