PYD4320/audio-text-pair_train-test-dataset-hindi
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Mohit Sharma
mohitsha
AI & ML interests
Model Optimization, Computer Vision, Deep Learning
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NisargBhavsar25/koel-benchmark:Path to audio files
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PYD4320/audio-text-pair_train-test-dataset-hindi
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ai4bharat/indic-conformer-600m-multilingual:Model Conversion to NEMO format
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Path to audio files
#2 opened 5 days ago
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Model Conversion to NEMO format
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#8 opened about 1 month ago
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🚀 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.
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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If you haven't had the chance to test the latest open model from Meta, Llama 4 Maverick, go try it on AMD MI 300 on Hugging Face!
amd/llama4-maverick-17b-128e-mi-amd
amd/llama4-maverick-17b-128e-mi-amd
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