{
  "task": "2.3 - Library-Based Quantization with bitsandbytes",
  "model_source": "ranjan56cse/gpt2-large-agnews-classifier",
  "int8_metrics": {
    "model_name": "INT8 (bitsandbytes)",
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    "num_samples_evaluated": 2000,
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    "f1_score": 0.9504235034869967,
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    "per_class_metrics": {
      "World": {
        "precision": 0.9536679536679536,
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      "Sports": {
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      "Business": {
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      "Sci/Tech": {
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    "memory_mb": 801.35498046875,
    "avg_latency_ms": 75.78567934036255,
    "std_latency_ms": 31.118263723559952
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  "nf4_metrics": {
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    "quantization_method": "bitsandbytes",
    "num_samples_evaluated": 2000,
    "accuracy": 0.9495,
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    "recall": 0.9495,
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      "Business": {
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    "memory_mb": 463.8560791015625,
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  "comparison": {
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    "memory_reduction_pct": 42.11602967386172
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}