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SupraLabs releases tiny SupraSafety-18M model for edge content moderation

SupraLabs has released SupraSafety-18M, a new BERT-style model with 18 million parameters designed for content moderation on edge devices and mobile phones. Trained on the nvidia/Nemotron-3.5-Content-Safety-Dataset, this binary classifier distinguishes between SAFE and UNSAFE text with high confidence. The model achieved 81.2% accuracy and 86.9% precision, making it suitable for low-latency production environments. AI

IMPACT Provides a lightweight solution for content moderation on resource-constrained devices.

RANK_REASON This is a release of a small, specialized model for a specific task (content moderation), not a frontier model release or significant industry event.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SupraLabs releases tiny SupraSafety-18M model for edge content moderation

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/LH-Tech_AI ·

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

    <!-- SC_OFF --><div class="md"><p>Hey <a href="/r/LocalLLaMA">r/LocalLLaMA</a> !</p> <p>SupraLabs is back with a new model: <strong>SupraSafety-18M</strong>.</p> <p>It's a BERT-style 18M params model trained from scratch on 2 T4 GPUs in Kaggle on the <strong>nvidia/Nemotron-3.5-C…