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Model config.use_cache not correctly used during inference for some models #1686

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Merged
merged 1 commit into from
Aug 19, 2025
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Merged

Model config.use_cache not correctly used during inference for some models #1686

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7 changes: 4 additions & 3 deletions gptqmodel/looper/module_looper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ def __init__(self, model: BaseGPTQModel, processors: List[LoopProcessor]):
self.support_batch_quantize = model.support_batch_quantize
self.lock = threading.Lock()

def cache_inputs(self, layers, auto_gc, calibration_data, calibration_enable_gpu_cache):
def cache_inputs(self, layers, auto_gc, calibration_data, calibration_enable_gpu_cache, use_cache):
layer_inputs = []
attention_masks = []
position_ids = []
Expand Down Expand Up @@ -123,7 +123,7 @@ def store_input_hook(module, args, kwargs):
if str(type(layers[0])) == "<class 'transformers.models.qwen2_5_omni.modeling_qwen2_5_omni.Qwen2_5OmniDecoderLayer'>":
self.gptq_model.model.generate(**example, return_audio=False)
else:
self.gptq_model.model(**example)
self.gptq_model.model(**example, use_cache=use_cache)
except ValueError:
pass
self.gptq_model.pre_quantize_generate_hook_end()
Expand Down Expand Up @@ -182,7 +182,8 @@ def loop(self, auto_gc=True, calibration_enable_gpu_cache=True, buffered_fwd=Fal

input_cache = self.cache_inputs(layers=layers, auto_gc=auto_gc,
calibration_data=processor.calibration_dataset,
calibration_enable_gpu_cache=calibration_enable_gpu_cache)
calibration_enable_gpu_cache=calibration_enable_gpu_cache,
use_cache=False)
processor.receive_input_cache(input_cache)

# release calibration_dataset
Expand Down