Skip to main content
Calcimator

Model Compression Calculator

Calculate compressed model size after pruning, quantization, and distillation with accuracy impact estimates.

Inputs

Results

Compressed Size

87.5 MB

≈ 18 songs

Size Reduction

82.5%

Est. Accuracy Impact0.8%
How to Use This Calculator
  1. Enter Original Model Size (MB), Pruning %, and Quantization Bits.
  2. Set FP32 (no quantization), FP16 (half precision), and INT8.
  3. Adjust INT4, Distillation Ratio as needed.
  4. Review Compressed Size (MB) and Size Reduction (%).
  5. Use Est. Accuracy Impact (%) to inform your decision.

How the result changes with Distillation Ratio

Distillation RatioCompressed SizeSize Reduction
2.930.2 MB94%
7.6511.4 MB97.7%
136.7 MB98.7%
184.9 MB99%

What each input means

Original Model Size (MB)
Original model size in megabytes (FP32 weights)
Pruning %
Percentage of weights to prune (remove near-zero weights)
Quantization Bits
Lower bit width = smaller model but potential accuracy loss
Distillation Ratio
Student-to-teacher size ratio for knowledge distillation (1 = no distillation)

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Original Model Size (MB) = 500, Pruning % = 30, Quantization Bits = 8, Distillation Ratio = 1 = 4 input(s) provided
  2. Calculate Compressed Size
    Compressed Size
    87.5 = 87.5
  3. Calculate Size Reduction
    Size Reduction
    82.5 = 82.5%

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.

Related Calculators

The questions that sit next to this one — chosen by subject, including calculators filed under a different category.

MLOps & AI Costing

Inference Latency Calculator

Estimate model inference latency, throughput, and memory requirements across CPU, GPU, and edge hardware.

MLOps & AI Costing

GPU Training Cost Calculator

Estimate cloud GPU training time, cost, and CO2 emissions for machine learning model training.

MLOps & AI Costing

Data Annotation Cost Calculator

Estimate labeling costs for ML datasets by task type, dataset size, and annotator rates.

More in Technology & Computing.