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How to Run AI Models Privately on Your AI PC with Model HQ; No Cloud, No Code

Rohan Sharma on June 27, 2025

In an era where efficiency and data privacy are paramount, Model HQ by LLMWare emerges as a game-changer for professionals and enthusiasts alike. B...
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Rohan Sharma LLMWare •

Ask your doubts here!!

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Priya Yadav •

Ok

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corneliu profile image
Corneliu •

this looks really interesting and useful for my use case. i’m not sure though about how realizable is on the hardware I currently have available. is there a possibility to use your software in trial mode for say a few days?

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Rohan Sharma LLMWare •

Yes Conreliu.

And we even recommend this. Please apply for a 90 days free trial: llmware.ai/enterprise#developers-w...

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Chirag Aggarwal •

very technical!

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K Om Senapati •

Yuss

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Dotallio •

Really appreciate how Model HQ brings strong AI models fully offline - real privacy plus flexibility. Curious, how does it handle running the largest models on mid-tier laptops (like 16GB RAM)?

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Namee LLMWare •

Hi @dotallio, it also depends on whether you also have an integrated GPU or NPU on your device. With the latest Intel Lunar Lake chip (Intel Ultra Core Series 2), we can run models up to 22B parameters with only 16 GB. But if you have an older machine with a smaller iGPU, the model size will need to be smaller.

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Rohan Sharma LLMWare •

you're asking the secret recipe! 😂🤣

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DK •

Awesome work by LLMWare! We can plan for future of MultiMindLab ↔ LLMWare connector to enable agent workflows across platforms.
MultiMindLab supports local GGUF models, no-code agent chaining, and private deployments via Ollama/HF. Also multi cloud deployment - Azure, AWS & GCP, more coming soon.
Both platforms share a privacy-first, model-agnostic vision — let’s make them interoperable!
Would love to explore joint use cases for Model HQ + MultiMindSDK(multimind.dev) agents.

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Nathan Tarbert •

This is extremely impressive, finally something that actually lets me run everything locally and keep my data private

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Namee LLMWare •

Thank you so much @nathan_tarbert!

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Priya Yadav •

👍

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Bap •

Super interesting! Appreciate the breakdown of features. Looking forward to seeing how the project evolves!

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Rohan Sharma LLMWare •

Thank you, Bap!