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Here is how you would use the WandaPruner class to compress a Hugging Face model (e.g., Llama 2 or Mistral).

def register_hooks(self): """Register forward hooks on linear layers.""" hooks = [] for name, module in self.model.named_modules(): if isinstance(module, nn.Linear): hook = module.register_forward_hook(self._get_activation_hook(name)) hooks.append(hook) return hooks wandasoftware

# 4. Run Calibration (collects activation data) pruner.calibrate(inputs['input_ids']) Here is how you would use the WandaPruner

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