{
  "quantization_method": "awq_4bit",
  "linear_layers": "0/115 (4-bit AWQ)",
  "embedding_layers": "0/0 (not quantized by AWQ)",
  "total_quantized": "0/115",
  "original_model": "luca-deandrea/MNLP_M3_mcqa_model",
  "calibration_data_path": "smoothquant/smoothquant/calibration_prompts.json",
  "calibration_samples": 100,
  "quantization_timestamp": "2025-06-10 20:48:02",
  "pytorch_version": "2.6.0+cu118",
  "estimated_compression_ratio": "4.0x",
  "estimated_size_mb": 284.08837890625,
  "original_size_mb": 1136.353515625,
  "formats_included": [
    "awq_safetensors"
  ],
  "lighteval_compatible": true,
  "awq_config": {
    "zero_point": true,
    "q_group_size": 128,
    "w_bit": 4,
    "version": "GEMM"
  },
  "notes": "4-bit AWQ quantization with activation-aware weight optimization"
}