Hey ,

Stop guessing. Test AI models locally and deploy with certainty.

In this walkthrough, Namee from LLMWare demonstrates how Model HQ simplifies downloading, testing, and evaluating AI models on a private, local, no-code platform.

Model HQ brings together 150+ models for chat and agents, optimized for NPU and GPU, and designed to run fully offline once downloaded. Users can compare models side by side, run standardized evaluations, and validate performance using real data on their own hardware.

Built for teams evaluating models for enterprise workflows, agentic systems, and private AI deployments.

Watch "150+ AI Models Running Offline! Model HQ Demo (No Code + Private AI), Part 1"
On YouTube: https://youtu.be/XT5wZ4TAsHM?si=p6Ljt02GLB1moL3Q
On LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:7424511579238502400

Hey ,

We want to thank Felippe Motta, Sr. Director, Product & Marketing at Corsair, for the kind words and encouragement shared recently. It is always meaningful to hear from leaders who are actively building and scaling real-world AI products.

At LLMWare by Ai Bloks, we are focused on delivering practical, secure, offline AI models and agents that teams can trust and deploy with confidence.

If you are curious to learn more, check out the post on LinkedIn and X.

Linkedin Post Link: https://www.linkedin.com/feed/update/urn:li:activity:7424155876971941888
X Post Link: https://x.com/llmware/status/2018390174041055269

We are proud to announce that we are listed among the trailblazers delivering local AI with Microsoft at this year's Ignite.

Thank you for your constant support.

linkedin post link

Huge congratulations to all of our Windows AI app partners! I'd...

Huge congratulations to all of our Windows AI app partners! I'd love to give special kudos to the amazing product makers, AI scientists, and engineers for their collaboration and partnership with us in Windows at Microsoft:

AnythingLLM - Timothy Carambat
Belt Software - Keith Lipman & Sheetal Jain
Dot Inc. (DotVista) - Eric Ju Yoon Kim, KiKwang...

𝗕𝗶𝗴 𝗺𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲 𝗳𝗼𝗿 𝗟𝗟𝗠𝗪𝗮𝗿𝗲

We’ve 𝗰𝗿𝗼𝘀𝘀𝗲𝗱 𝟯𝟬𝟬+ 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯, with 𝟭𝟰𝗞+ 𝘀𝘁𝗮𝗿𝘀 𝗮𝗻𝗱 𝟮.𝟱𝗞+ 𝗳𝗼𝗿𝗸𝘀 and our Discord community has grown to 𝗼𝘃𝗲𝗿 𝟱,𝟬𝟬𝟬+ 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀.

LLMWare is built for developers who want fast, production-ready LLM apps without the heavy lifting. From lightweight model hosting to enterprise-ready integrations, we’re making it easier to go from idea to deployment in record time.

If you’re building with LLMs and want to stay ahead of the curve:

✦ ** 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗚𝗶𝘁𝗵𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆**: https://github.com/llmware-ai/llmware

✦ Follow us on X: https://x.com/llmware

Let’s build the future of LLM applications together. Thank you

𝗟𝗟𝗠𝗪𝗮𝗿𝗲 𝗶𝘀 𝗻𝗼𝘄 𝘁𝗿𝗲𝗻𝗱𝗶𝗻𝗴 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯! 🚀

We’re incredibly proud to see the open-source community embracing LLMWare (by Ai Bloks): a unified framework for building enterprise RAG pipelines with small, specialized models.

Whether you're running on consumer GPUs, building RAG pipelines, or embedding enterprise docs with full control, LLMWare is built for developers who want flexibility and performance.

Thanks to everyone who has starred, forked, contributed, and believed in the mission.

Let’s keep pushing the boundaries of open source AI together.
👉 https://lnkd.in/duQudB-D

Check it out here: https://lnkd.in/gH4b_a7p

Linkedin post: https://www.linkedin.com/posts/rohan-sharma-9386rs_llmware-opensource-ai-activity-7346604453212393474-GRN9?utm_source=share&utm_medium=member_desktop&rcm=ACoAAB37BqEBbqCxfJA1r_kSY5Ghauyt1a9YfIc

Want to create a private chatbot that runs locally without internet?

Here's the solution: https://dev.to/llmware/how-to-create-a-local-chatbot-without-coding-in-less-than-10-minutes-on-ai-pcs-2ajl

Let us know your thoughts on this

How to Create a Local Chatbot Without Coding in Less Than 10 Minute...

🔖 No cloud. No internet. No coding. 🔖 Just you, your laptop, and 100+ powerful AI models running...

LAUNCHING MODEL HQ

Your data doesn’t need the cloud to unlock AI.

With LLMWare (by Ai Bloks) Model HQ on Intel® AI PCs and Xeon® servers, you keep full control while accelerating AI adoption:
- Data stays inside the enterprise—no cloud exposure
- Run GenAI apps in full air-gap mode
- Private RAG and inference workflows from PC to data center

Read in more detail: https://dev.to/llmware/how-to-run-ai-models-privately-on-your-ai-pc-with-model-hq-no-cloud-no-code-3o9k

Thanks in advance for you love and support!

How to Run AI Models Privately on Your AI PC with Model HQ; No Clou...

In an era where efficiency and data privacy are paramount, Model HQ by LLMWare emerges as a...

Open Source Friday with LLMWare

join us for Open Source Friday on June 27, 2025, featuring Namee Oberst and Darren Oberst from LLMWare.

Discover how LLMWare provides a unified open source framework for building LLM-based applications—like RAG and Agents—using small, specialized models that can be deployed privately, integrated with enterprise knowledge sources securely, and cost-effectively tuned for any business process. See a live demo and learn about their open source approach.

https://www.linkedin.com/events/7343709060594057216/comments/

🔒💡 AI can’t scale in the enterprise if it risks your data—or requires massive investment.

That’s the paradox: companies need AI to compete—but cloud costs, security risks, and lack of expertise hold them back.

Enter Intel + LLMWare.ai in a new solution brief (https://shorturl.at/Z9ir3):
A no-code, private AI platform that runs locally on Intel® AI PCs and scales with Intel® Xeon® servers—supporting inferencing and RAG across enterprise workloads with minimal incremental cost.

Why it matters:
- Build AI agents & chatbots with zero code
- Run GenAI locally—no cloud, no exposure
- Scale RAG and inferencing from device to data center
- $0 per-token costs and full control over your data

This is AI adoption without compromise.
🔗 Read the https://shorturl.at/Z9ir3

|| ||

Hey ,

At your request and for your convienience, we are finally giving our server a new look. (Thanks for constantly making us work 😂).

Here's the brief summary of the new arrangement. This will make the onboarding process easier for you.
- #rules: Please follow our super simple rules. We are, of course, not going to dictate to you!
- #announcements: All the major announcements will be made here!
- #github-updates: We made the GH Stalking easier for you!

• general: New members must be welcomed.

• introduce-yourself: We are so much interested in knowing you. Please introduce yourself in this channel.

• roles: Your target is in your hand! Choose the role you want to keep notified!

• 💬┃general-chat: Will discuss llms and your issues! Feeling so desperate, tbh!

• 🐛┃bugs: We are still building. Help us in getting better day by day. Your each bug report keeps us motivated as someone is using our product!

• 🎭┃feedback: And, of course, we need your feedback. Also, if you have any suggestions, just throw them here!

• 🧌┃off-topic: We can't work all the time. Let's have some fun in this room! Share memes, gossip, self-promotion, etc,.

• technical-support-forum: Need our support? Just create a forum and let us know your issue. We are on it!

• 🛟┃llmware-resources: There must be place where you can learn more about us! This room is all for our product and your interest!

• 🪅┃hackathons: We sponsor so many hackathons. So, we will keep you posted so that you won't miss any!

• 🔖┃projects: If there are hackathons, there must be projects. We are eager to see them. Post them here.

• 🍻┃quest-hackathon: If you're submitting a project for a particular hackathon, post it here!

• 🔨┃made-with-llmware: A channel where we can see all your projects built with our love! 💖

Any questions/suggestions are welcome!! Thank you 🐛

🎉 𝐖𝐞 𝐝𝐢𝐝 𝐢𝐭 – 10𝐊+ 𝐆𝐢𝐭𝐇𝐮𝐛 𝐒𝐭𝐚𝐫𝐬! 🚀

A huge THANK YOU to our incredible community of supporters, contributors, and users who made this possible! Your feedback, contributions, and enthusiasm continue to drive LLMWare (by Ai Bloks) forward.

This can't be possible without your support! Thank you so much || ||!!!!

GitHub Link: https://github.com/llmware-ai/llmware

🚀 Exciting News || ||! LLMWare (by Ai Bloks) partners with QUALCOMM TECHNOLOGIES, INC. to bring on-device AI to Snapdragon X Series-powered AI PCs! 💪💻

With Model HQ, enterprises can now:
🔹 Run, create, and deploy AI workflows locally
🔹 Use no-code & low-code tools for chatbots, text-to-SQL, image reading, and document analysis
🔹 Access 90+ top AI models (up to 32B parameters)
🔹 Ensure security, privacy, and compliance with built-in safety tools

No cloud. No compromises. Just fast, secure, and cost-efficient AI — right on your device!

Read more about it here: https://www.qualcomm.com/developer/blog/2025/03/model-hq-llmware-run-language-models-use-ai-agents-on-snapdragon-x-series-devices

📍 Meet us at MWC Barcelona 2025 at Qualcomm Technologies' booth from March 3-6 to see Model HQ in action!

OnDeviceAI #AIInnovation #MWC25 #LLMWare #Qualcomm