MiniMaxAI/MiniMax-Music3
Text-to-Audio • 2B • Updated • 11.7k • 935
👋 Open to Work
Tyler Williams
unmodeled-tyler
AI & ML interests
engineer & solo builder of VANTA Research/Quanta Intellect
Recent Activity
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MiniMaxAI/MiniMax-Music3 liked a model 3 days ago
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unsloth/Magistral-Small-2509-GGUFOrganizations
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reacted to julien-c's post with 🚀 21 days ago
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who's working on an NVFP4 version of Kimi-K3?
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reacted to BFFree's post with ❤️ 21 days ago
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This sketch represents the idea of falling asleep and the mind fragmenting to release the thoughts and bits of the day. Used the 
microsoft mageflow to give it depth and color. Very accurate detection of the ink drawings small marking and application of interesting details. microsoft/mage-flow
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reacted to wenhuach's post with 🔥 3 months ago
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🚀 We provide **free** hardware to quantize models at the [Intel Low Bit Open LLM Leaderboard]( Intel/low_bit_open_llm_leaderboard), currently supporting
⭐ If you find it useful, please consider starring the AutoRound project on [GitHub](https://github.com/intel/auto-round)!
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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reacted to kalyan-ks's post with 👀 3 months ago
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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.
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.
replied to PhysiQuanty's post 3 months ago
This is such a cool project!