LLMWare

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/9n7gXz6knbM?si…

What if your AI agents ran fully local with zero cloud dependency? With Model HQ, build no code agents that analyze contracts, extract key terms with RAG, and run batch workflows directly on device. Private. Practical. Enterprise ready. Download Model HQ and start building today

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/zP2v8DixQaA?si…

Model HQ by LLMWare lets you create private, on-device bots with your own prompts, documents, and UI. Works offline. Easy to share. Built for real teams.

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/R1fAogEIDMc?si…

What if sentiment and emotion AI ran entirely on your device? Model HQ by LLMWare lets you build agentic workflows for image and text classification with no code, no Wi Fi, and full privacy. Watch the demo and explore on device AI. Link in the comments!

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/yNkcSH73vKc?si…

On-device AI should be easy to use. In this walkthrough, LLMWare shows how Model HQ lets teams run GPU and NPU models locally, query documents with citations, customize prompts, and work without Wi-Fi. Watch the demo and explore private, on-device AI with Model HQ.

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/JazySdXT2IE?si…

How do you choose the right LLM before deployment? Model HQ by LLMWare lets teams test and compare models locally with no code and no Wi Fi. Generate custom test sets, measure quality and latency, and validate models for real workflows. Watch the demo and try Model HQ.

Everyone wants AI on their internal docs. Almost no one wants to ship that data to external APIs. That’s the blocker. Local AI changes the game. No uploads. No new exposure paths. For many teams, this is when AI finally becomes usable.

Visit LLMWare: llmware.ai Model HQ Docs: model-hq-docs.vercel.app Join us on YouTube: @llmware" target="_blank" rel="nofollow noopener">youtube.com/@llmware 𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗻 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: youtu.be/XT5wZ4TAsHM?si…

Stop guessing. Test AI models locally and deploy with certainty. In this walkthrough, we will show that Model HQ by LLMWare lets you download and test 150+ AI models on a no-code, fully local platform. Compare accuracy, speed, and hallucination behavior across NPU and GPU.

Grateful to Felippe Motta (Sr. Director, Product & Marketing @CORSAIR ) for the support and encouragement. Always motivating to hear from leaders building at scale.

Just built a contract analysis AI agent with Model HQ - no code needed! Started with a basic template, customized it for music licensing agreements, and deployed it across multiple docs in minutes. All running locally for max security. @nameeoberst/building-a-custom-ai-agent-with-no-code-using-model-hq-514f1724bdb5" target="_blank" rel="nofollow noopener">medium.com/@nameeoberst/b…

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.

𝗥𝗲𝗮𝗱 𝗙𝘂𝗹𝗹 𝗕𝗹𝗼𝗴 𝗵𝗲𝗿𝗲: medium.com/p/13b842b5d49d 𝗧𝗿𝘆 𝗠𝗼𝗱𝗲𝗹 𝗛𝗤 𝗳𝗿𝗲𝗲 𝗳𝗼𝗿 𝟵𝟬 𝗱𝗮𝘆𝘀: #developers-waitlist" target="_blank" rel="nofollow noopener">llmware.ai/enterprise#dev…

Just tested Model HQ's new hybrid inferencing - game-changing flexibility for enterprise AI. Run workloads on local AI PCs or private servers, zero cloud dependency. See how we built a secure RAG system with on-device inference + server vector store. { LINK IN COMMENTS }

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 }

𝗥𝗲𝗮𝗱 𝗕𝗹𝗼𝗴 𝗵𝗲𝗿𝗲: medium.com/p/80653a1e3fe6 𝗧𝗿𝘆 𝗠𝗼𝗱𝗲𝗹 𝗛𝗤 𝗳𝗿𝗲𝗲 𝗳𝗼𝗿 𝟵𝟬 𝗱𝗮𝘆𝘀: #developers-waitlist" target="_blank" rel="nofollow noopener">llmware.ai/enterprise#dev…

Just ran Phi-4 (14B) across server, NPU & GPU using Model HQ. Zero cloud costs, full local inference. Server: Xeon CPU-only NPU: Intel Core Ultra 9 GPU: Same machine, different mode Results? Smooth inference everywhere. { LINK IN THE COMMENTS }