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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LLMWare @llmware

a week 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 week 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

2 weeks 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

2 weeks 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

2 weeks 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

2 weeks 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

3 weeks 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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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

4 weeks 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.

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The devEco @thedeveco

4 weeks ago

Great acheivement @llmware team!

Rohan Sharma @rrs00179

4 weeks ago

Great acheivement @llmware team!

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Rohan Sharma @rrs00179

4 weeks ago

@llmware just hit some big numbers: ✦ 14,000+ ⭐ on GitHub ✦ 2,500+ forks ✦ 300+ repo followers ✦ 5,000+ devs in Discord Building fast, production-ready LLM apps? We’ve got you covered. GitHub: github.com/llmware-ai/llm… Discord: discord.gg/bphreFK4NJ

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LLMWare @llmware

a month ago

The collaboration with @IntelBusiness isn’t just about hardware support. It is about creating something developers actually enjoy using. Our OpenVINO-optimized models are now running faster than ever on Intel Core and Arc devices.

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LLMWare @llmware

a month ago

We’ve heard from developers who were amazed at how smooth model switching is inside Model HQ. You can go from a 1B model to a 13B or 32B model without hitting the brakes. It’s optimized for flow. Want to try? llmware.ai/enterprise#dev…

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LLMWare @llmware

a month ago

When teams don’t need to touch a single line of code to launch a smart AI agent, everything moves faster. Model HQ’s no-code Developer Kit makes internal app building simple, whether it’s for document analysis or knowledge search. #EnterpriseProductivity #NoCodeAI #InternalTools

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Rohan Sharma @rrs00179

a month ago

✦ Devs don't want token limits. ✦ IT doesn't want data leaving the org. ✦ Finance doesn't want surprise bills. Model HQ solves all three, run 32B param models locally, zero per-use costs, full enterprise control. Try it today llmware.ai/enterprise

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Whole GLOBE is Watching @globe_watching

a month ago

Beautiful @llmware 💚

LLMWare @llmware

a month ago

Beautiful @llmware 💚

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LLMWare @llmware

a month ago

Model HQ was created so you don’t need to compromise on privacy or performance. Everything runs on your device. It’s quiet, fast, and secure, like having an AI lab in your laptop.

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Rohan Sharma @rrs00179

a month ago

Cloud LLMs aren't built for enterprise devs. Model HQ runs 100+ models (up to 32B params) locally, accelerated on Intel Core Ultra & Snapdragon X. ✦ Secure and private ✦ Fast inferencing ✦ No token costs Try the 90-day free dev version: llmware.ai/enterprise#dev…

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LLMWare @llmware

a month ago

Enterprises are adopting on-device AI faster than ever, and with Model HQ, it’s easier to scale that across the organization. 100+ optimized models, zero infrastructure worries, and full control from the first setup. #EnterpriseAI #ModelHQ #EdgeAI #ScalableWorkflows

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Web3_Bhopal @Web3_Bhopal

2 months ago

HackOdisha 5.0👀 – Eastern India’s biggest 36-hour hackathon by Webwiz X @nitrourkela @web3bhopal is proud to be a Community Partner 🤝 🎟️ Registeration code "Hackit404" for exclusive access + cool swags! 💰 $1,925+ in prizes Register hackodisha-4.devfolio.co #Web3 #AI