Article
Rasmus Aagaard
rasgaard
AI & ML interests
Interested in using LLMs in products, evaluation of those products and small models
Recent Activity
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3 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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AI Policy @🤗: Response to the 2025 National AI R&D Strategic Plan
Organizations
Articles
2
Article
Scaling Expert judgment with Large Language Models (LLM-as-a-Judge)
Papers
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models
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rasgaard/whisper-tiny.da
Automatic Speech Recognition
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rasgaard/orpheus-3b-coral-tts
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rasgaard/luke-base-newsgroups-finetuned
Text Classification
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rasgaard/luke-base-newsgroups-probe
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rasgaard/squeezebert-newsgroups-finetuned
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rasgaard/squeezebert-newsgroups-probe
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rasgaard/distilbert-newsgroups-finetuned
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rasgaard/distilbert-newsgroups-probe
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rasgaard/bert-newsgroups-finetuned
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rasgaard/bert-newsgroups-probe
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