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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

Ask your doubts here!!

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jennie_py profile image
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

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

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

you're asking the secret recipe! 😂🤣

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DK | MultiMind SDK | Open source AI

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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Bap

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

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Rohan Sharma

Thank you, Bap!

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Priya Yadav

👍

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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

Thank you so much @nathan_tarbert!