LLMWare @llmware

https://t.co/1sepFsHC2o Try Model HQ: https://t.co/oOCXZi5ogI llmware.ai Greenwich, Connecticut, USA Joined October 2023

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Rohan Sharma @rrs00179

4 days ago

Model HQ just dropped a game-changing hybrid inferencing demo! Run LLMs seamlessly between AI PCs and private servers with zero cloud dependency. Key patterns we tested: • Local AI PC inference • Server-side API calls • Hybrid agent deployment Best part? No per-token fees.

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Rohan Sharma @rrs00179

6 days ago

Just ran Phi-4 14B on three different setups using Model HQ by @llmware : Xeon CPU server, Lunar Lake NPU, and GPU. Zero cloud costs, fully local inference across all modes. Perfect for enterprise deployment flexibility. { FULL ARTICLE IN THE COMMENTS }

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Rohan Sharma @rrs00179

2 weeks ago

Transforming Executive Agreement Analysis with Model HQ Just launched: A game-changing demo showing how Model HQ by @llmware analyzes executive agreements 100% privately on device. No cloud needed, no data leaves your system. Watch the full demo: { LINK IN THE COMMENT }

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Rohan Sharma @rrs00179

2 weeks ago

Unlock private AI for document analysis with Model HQ by @llmware! Build a no-code RAG chatbot in <10 mins, 100% on-device. Executive Agreements case study proves it. Fast, secure, practical AI. No cloud, no token metering. Read more here: medium.com/@nameeoberst/p…

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LLMWare @llmware

2 weeks ago

Private AI for document analysis is here! 🔒 Model HQ lets you build custom RAG chatbots in minutes, no code required. Run everything locally on your device for ultimate security. Watch the demo & build your own! Read more here: medium.com/@nameeoberst/p…

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LLMWare @llmware

a month ago

Rerankers, embedders, vision models, classifiers, why juggle tools when Model HQ runs them all under one roof?

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LLMWare @llmware

a month ago

You don’t always need a bigger model, just a smarter format. GGUF and ONNX support keeps things fast and lean. Don't believe us? Try it yourself llmware.ai/enterprise#dev…

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LLMWare @llmware

a month ago

Tired of switching tools to run one model? Model HQ handles inference, deployment, and orchestration, no duct tape needed.

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LLMWare @llmware

a month ago

A major benefit for enterprise IT? Zero-token billing. Once deployed, models run locally with no per-use cost. CFOs love that, and so do devs who just want to build without limits.

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LLMWare @llmware

a month ago

Open-source model chaos? Model HQ supports 20+ OSS models like LLama, Qwen, and Mistral, natively and version-safe.

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LLMWare @llmware

a month ago

So many of you asked for voice-to-text and doc parsing, and we listened. These are now built right into the app. No setup, no hidden tools. Just click and get results.

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LLMWare @llmware

a month ago

We met a dev who replaced their entire chatbot infra with a few workflows inside Model HQ. Their comment? “Feels like giving my laptop superpowers.” That’s exactly the energy.

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LLMWare @llmware

a month ago

We’ve seen dev teams share their entire bot workflows using Model HQ’s built-in export and share feature. It’s like handing off a folder, but it’s an AI app ready to run. Why not give it a try today? llmware.ai/enterprise#dev…

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LLMWare @llmware

2 months ago

You don’t need to spend hours fine-tuning. Just open the Developer Kit, drag a few elements, upload your doc, and boom, you’ve built a custom RAG chatbot with sources. That’s the power of simplicity. That's Model HQ.