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Rasmus Aagaard

rasgaard
nataliaElv's profile picture 21world's profile picture davanstrien's profile picture
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https://rasgaard.github.io/

AI & ML interests

Interested in using LLMs in products, evaluation of those products and small models

Recent Activity

liked a dataset 3 days ago
CoRal-project/coral-v2
reacted to Xenova's post with 🔥 24 days ago
NEW: Real-time conversational AI models can now run 100% locally in your browser! 🤯 🔐 Privacy by design (no data leaves your device) 💰 Completely free... forever 📦 Zero installation required, just visit a website ⚡️ Blazingly-fast WebGPU-accelerated inference Try it out: https://huggingface.co/spaces/webml-community/conversational-webgpu For those interested, here's how it works: - Silero VAD for voice activity detection - Whisper for speech recognition - SmolLM2-1.7B for text generation - Kokoro for text to speech Powered by Transformers.js and ONNX Runtime Web! 🤗 I hope you like it!
reacted to yeonseok-zeticai's post with 🔥 25 days ago
🚀 NEW DROP: run your own on-device LLM—in minutes, on any phone Today we’re open-sourcing everything you need to put Qwen3-0.6B straight into a production-ready mobile app: 🎥 Watch Qwen3-0.6B chat in real time on any smartphones! 📊 TPS benchmarks – slides comparing token-per-second across heterogeneous mobile devices 💻 Plug-and-play source – Just Copy & Run the source to your project for Android (Kotlin & Java) and iOS (Swift). 🤞 Cross-platform, one pipeline – ZETIC.MLange auto-tunes kernels for every different devices, we’ve tested. 👨‍💻 Ready for production – swap in your own model, re-benchmark with one command, publish. Get started Just Sign-up and check the playground project, QWEN-0.6B - https://mlange.zetic.ai/p/zetic-example/Qwen3-0.6B We built this to show that cloud-free LLMs are ready today. Dive in, fork it, and tag ZETIC.ai when you launch your own on-device assistant, game NPC, or offline content generator—we’ll spotlight the best projects.
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