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yeonseok-zeticaiΒ 
posted an update Jun 20
Post
1400
πŸš€ Try deep-research without Network Connection and Data Leak, Jan-Nano production-ready on-device AI in 6 hours!

Jan-Nano has been making waves as one of HuggingFace's most trending 4B parameter models, outperforming even 671B models on SimpleQA benchmarks. But here's what changes everything: ZETIC.MLange just transformed Jan-Nano into a blazing-fast on-device AI solution.

✨ 6-hour deployment from huggingface to production-ready library!

Zero cloud dependency - complete privacy and offline capability
While others struggle with complex on-device deployments taking weeks or months, ZETIC.MLange's automated pipeline makes it effortless. No manual optimization, no vendor-specific coding, no compromise on performance.

πŸ“± Ready to transform your AI models? Try ZETIC.MLange, it is totally free now!

The future of AI is on-device. Make it happen in hours, not months.

#OnDeviceAI #EdgeAI #MLOptimization #NPU #PrivacyFirst

Thank you, that is interesting, but where is the link? Is it going to work on 24 GB VRAM?

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Please visit ZETIC.MLange! (https://mlange.zetic.ai). You can try this right now!.

Qwen3 4b actually works better for me here

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It could be! But the Qwen3 4b model is bigger than Jan-Nano. The Qwen3 4b model is also available to use in On-device. Let me upload it now!.