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Tyler Williams
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unmodeled-tyler
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unmodeledtyler
unmodeled-tyler
unmodeledtyler
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engineer & solo builder of VANTA Research/Quanta Intellect
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google/gemma-4-12B-it
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🚀 We provide **free** hardware to quantize models at the [Intel Low Bit Open LLM Leaderboard](https://huggingface.co/spaces/Intel/low_bit_open_llm_leaderboard), currently supporting `Pure RTN mode` powered by AutoRound ⭐ If you find it useful, please consider starring the AutoRound project on [GitHub](https://github.com/intel/auto-round)!
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LLM Guardrail Models are Less Robust Against Text Mutation Attacks Blog post - https://huggingface.co/blog/kalyan-ks/llm-guardrail-models-less-robust Evaluated the robustness of three LLM guardrail models (GLiGuard, LlamaGuard3 and MiniGuard). Evaluation is done using 16 text mutation attacks over three datasets (AEGIS 2.0, WildGuard and ExpGuard). Achieved average Unsafe ASR score of up to 33% and average Safe ASR score of up to 25% against GLiGuard model. Achieved average Unsafe ASR score of up to 35% and average Safe ASR score of up to 17% against LlamaGuard3-8B model. Achieved average Unsafe ASR score of up to 45% and average Safe ASR score of up to 15% against MiniGuard v0.1 model.
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