repelloai
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CREST-Base

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safety-guardrails

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 **A Multilingual Safety Guardrail Model for 100 languages built on XLM-RoBERTa**
 CREST which stands for CRoss-lingual Efficient Safety Transfer, is a parameter-efficient multilingual safety classifier for 100 languages, fine-tuned using 13 strategically selected high-resource languages only, chosen through cluster-guided sampling, enabling strong cross-lingual transfer to unseen low-resource languages.
-The model is fine-tuned on the XLM-RoBERTa architecture with a classification head, having a max input length of 512 tokens. The CREST model comes in two variants:
-- `CREST-Base` approximately 278M parameters
-- `CREST-Large` approximately 560M parameters
 The model is designed for fast, lightweight safety filtering across a large number of languages, both high-resource and low-resource languages, with minimal training cost, suitable for real-time and on-device deployments.

 **A Multilingual Safety Guardrail Model for 100 languages built on XLM-RoBERTa**
 CREST which stands for CRoss-lingual Efficient Safety Transfer, is a parameter-efficient multilingual safety classifier for 100 languages, fine-tuned using 13 strategically selected high-resource languages only, chosen through cluster-guided sampling, enabling strong cross-lingual transfer to unseen low-resource languages.
+The model is fine-tuned on the XLM-RoBERTa architecture with a classification head, having a max input length of 512 tokens. The Base variant has approximately 279M parameters.
 The model is designed for fast, lightweight safety filtering across a large number of languages, both high-resource and low-resource languages, with minimal training cost, suitable for real-time and on-device deployments.