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, 18:30 UTC
[Misc] Remove misleading message in gemma2 and gemma3 (#14850)
Signed-off-by: Isotr0py <2037008807@qq.com>
Isotr0py committed
Mar 15, 2025 at 12:35 UTC
97ac781c6213f1774f6559585ed166852e2ecc78
3 files changed
+1
-15
vllm/model_executor/models/gemma.py
+1
-5
@@ -424,9 +424,5 @@ class GemmaForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
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default_weight_loader)
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weight_loader(param, loaded_weight)
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loaded_params.add(name)
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- unloaded_params = params_dict.keys() - loaded_params
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- if unloaded_params:
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- logger.warning(
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- "Some weights are not initialized from checkpoints: %s",
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- unloaded_params)
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+
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return loaded_params
vllm/model_executor/models/gemma2.py
-5
@@ -358,11 +358,6 @@ class Gemma2Model(nn.Module):
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weight_loader(param, loaded_weight)
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loaded_params.add(name)
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- unloaded_params = params_dict.keys() - loaded_params
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- if unloaded_params:
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- logger.warning(
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- "Some weights are not initialized from checkpoints: %s",
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- unloaded_params)
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return loaded_params
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vllm/model_executor/models/gemma3.py
-5
@@ -452,11 +452,6 @@ class Gemma3Model(nn.Module):
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weight_loader(param, loaded_weight)
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loaded_params.add(name)
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- unloaded_params = params_dict.keys() - loaded_params
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- if unloaded_params:
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- logger.warning(
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- "Some weights are not initialized from checkpoints: %s",
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- unloaded_params)
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return loaded_params
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