[NEW MODEL] - SupraSafety-18M · Tiny Content-Moderation Model

Reddit r/LocalLLaMA Models
content-moderation tiny-model bert binary-classifier edge-device open-source safety

Summary

SupraLabs released SupraSafety-18M, a tiny 18M-parameter BERT-style content moderation model trained on NVIDIA's Nemotron-3.5 dataset. It achieves 81.2% accuracy and runs efficiently on edge devices.

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! 🤩
Original Article

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