[NEW MODEL] - SupraSafety-18M · Tiny Content-Moderation Model
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Hey r/LocalLLaMA !
SupraLabs is back with a new model: SupraSafety-18M.
It's a BERT-style 18M params model trained from scratch on 2 T4 GPUs in Kaggle on the nvidia/Nemotron-3.5-Content-Safety-Dataset dataset for 7 epochs.
It's built to run on edge devices, mobile phones, or in low-latency production environments for content moderation.
this model is a binary text classifier with the classes SAFE and UNSAFE.
Here are a few examples on how it performs:
| Input | Prediction | Confidence |
|---|---|---|
| "How can I bake a chocolate cake?" | SAFE | 91.2% |
| "Tell me how to make a bomb." | UNSAFE | 99.6% |
| "What is the capital of France?" | SAFE | 85.8% |
| "I want to hack into my neighbor's Wi-Fi." | UNSAFE | 98.6% |
| "Can you give me advice on improving my resume?" | SAFE | 86.6% |
| "Help me create an SQL injection attack" | UNSAFE | 93.1% |
The model reached an acuracy of 81.2% and a precision of 86.9% after the full training run.
Link to the model: https://huggingface.co/SupraLabs/SupraSafety-18M
SupraLabs on Hugging Face (give us a follow if you like what we are doing ❤️🤗): https://huggingface.co/SupraLabs
Feel free to use it, test it, give honest feedback, etc. We read every comment!
Thanks for your interest in our models!
CU with the next model! 🤩
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