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mnist-4.5k
aplominski/mnist-4.5k
mnist-4.5k is a image classification model from aplominski. Use it when you need a label for an image. The card lists the license as mit.
This is an ultra-lightweight Convolutional Neural Network (CNN) with only 4.5K parameters, trained on the classic MNIST dataset for handwritten digit recognition.
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Public
Updated Jul 4, 2026
Repo size
21.1 KB
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At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026
- SHA
- 1d0df2a6
Model card
From the Hugging Face model README
Lightweight MNIST CNN (4.5K Parameters)
This is an ultra-lightweight Convolutional Neural Network (CNN) with only 4.5K parameters, trained on the classic MNIST dataset for handwritten digit recognition.
Despite its minimal size, the model achieves 94.48% accuracy on the test split, making it highly efficient for edge devices or CPU-only environments.
The full training workflow and source code can be found on GitHub and weights can be found on Hugging Face
Model Performance
- Task: Image Classification (Handwritten Digits 0-9)
- Dataset: MNIST
- Test Accuracy: 94.48%
- Parameter Count: ~4,500
Quick Start / Usage
You can load and use this model directly using the code in github repository
- Task
- Image Classification
- License
- mit
- Created
- Jul 4, 2026
- Updated
- Jul 4, 2026