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@@ -112,6 +112,7 @@ The model is fine-tuned on the XLM-RoBERTa architecture with a classification he
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  The Base variant has approximately 279M parameters.
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  The model is designed for fast, lightweight safety filtering across a large number of languages, both high-resource and low-resource
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  languages, with minimal training cost, suitable for real-time and on-device deployments.
 
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  For detailed results, see
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  [CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer](https://arxiv.org/abs/2512.02711v1).
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  The Base variant has approximately 279M parameters.
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  The model is designed for fast, lightweight safety filtering across a large number of languages, both high-resource and low-resource
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  languages, with minimal training cost, suitable for real-time and on-device deployments.
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+
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  For detailed results, see
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  [CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer](https://arxiv.org/abs/2512.02711v1).
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