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intento-v1-edge
luigicfilho/intento-v1-edge
intento-v1-edge is a machine learning model from luigicfilho. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Access
Public
Updated Feb 23, 2026
Parameters
504K
522 KB on disk
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1
Public
Repo makeup
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.safetensors522 KB · 79%
Parameter types
How the weights are stored.
U8500K · 99%
Datasets
Model card
From the Hugging Face model README
Intento-v1
Intento-v1-edge is the ultra-compressed, production-ready companion to the Intento-v1 family. It was trained on the SID dataset and is designed specifically for low-latency 5-language intent classification on mobile and IoT devices.
Performance & Compression
This model achieves extreme compression compared to the standard transformer baseline while maintaining high accuracy for production use.
Comparison Benchmark
| Metric | SOTA Transformer (3.3GB) | Edge AI Model (500kB) | Delta |
|---|---|---|---|
| Accuracy | 93.98% | 93.91% | Parity (-0.07%) |
| Weighted F1 | 0.9205 | 0.9206 | +0.0001 |
| Macro F1 | 0.9670 | 0.9688 | +0.0018 |
Files
model.safetensors: Optimized quantized weights for high-speed edge inference.word_vocab.json/char_vocab.json: Required for tokenizer preprocessing.
License
This model is licensed under the MIT License.
- License
- mit
- Languages
- en, pt, es, fr, de
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026