{
  "pruning_method": "global_magnitude_unstructured",
  "target_sparsity": 0.2,
  "actual_sparsity": 0.1514008178145814,
  "zero_params": 15572124,
  "total_params": 102853632,
  "pruned_layers": "attention + FFN (excluding embeddings, LayerNorm, classifier)",
  "usage_notes": {
    "loading": "Use AutoModelForTokenClassification.from_pretrained() as usual",
    "inference": "No special requirements - works like any HF model",
    "sparse_format": "Dense format with zeros - consider torch.sparse for production",
    "quantization_compatible": "Can be further quantized to INT8 if needed"
  }
}