meta-models/Muse-Glimmer-30B
Image-Text-to-Text • 30B • Updated • 121k • • 1.39k
👋 Open to Work
Tyler Williams
unmodeled-tyler
AI & ML interests
engineer & solo builder of VANTA Research/Quanta Intellect
Recent Activity
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meta-models/Muse-Glimmer-30B updated a collection 4 days ago
My Current Open Source Daily Drivers liked a model 10 days ago
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reacted to julien-c's post with 🚀 16 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 ❤️ 16 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!
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🧬 You can now find out whether your cognitive soulmate has already existed among 50k anonymized profiles ✨
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You seek them: 79.7% | They may seek you: 84.1% (coming soon)
🔥 Powered by open source and too much coffee 🔥
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reacted to prithivMLmods's post with 🔥 3 months ago
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I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached “Space of the Week”! A few Spaces are still topping the list even after many months.
Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.
Thanks for all the community support! 🤗❤️
🔗 Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.
Thanks for all the community support! 🤗❤️
🔗 Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
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reacted to alvarobartt's post with 🚀 3 months ago
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Open agents on AWS SageMaker AI with open models from the Hugging Face Hub!
> Deploy an open model from the Hugging Face Hub on SageMaker AI
> Connect the deployed model to Strands Agents
> Add built-in and custom tools for tool calling
> Expose external capabilities through MCP integration
> Bonus: talk to your agent and visualize traces with Gradio
https://alvarobartt.com/agents-on-aws-sagemaker
> Deploy an open model from the Hugging Face Hub on SageMaker AI
> Connect the deployed model to Strands Agents
> Add built-in and custom tools for tool calling
> Expose external capabilities through MCP integration
> Bonus: talk to your agent and visualize traces with Gradio
https://alvarobartt.com/agents-on-aws-sagemaker
replied to their post 3 months ago
Centauri is a new project and is rapidly improving!