Kayden Fu

@lmstudio @googlegemma High likelihood of an amazing time 🥳

Event with @googlegemma next week! Hang out with the fellow builders and members of the Gemma + LM teams at LM Studio HQ in NYC. When: Monday, May 11th RSVP: required, link below High likelihood of pizza and cool demos

@thorwebdev @lmstudio Can’t wait 🥳🔥

Join us for an exclusive #Gemma 4 event in NYC together with @lmstudio! Meet the folks from Google DeepMind and LM Studio that are working on Open Models and the ecosystem around it! 💎🫶 luma.com/3r7i1557

Hermes Agent + LM Studio 👾🪽

Unplugging completely! No WiFi and zero notifications. A great way to get deep focus on a project. Here is a walkthrough showing how to run Gemma 4 (26B A4B) fully offline with LM Studio & OpenCode to parse PDFs, ask questions, and build sites 100% locally.

Check out this video on how to run Gemma 4 locally on an iPhone! It runs completely offline and handles long context, meaning no data plan, no API calls, and no monthly fees required.

@HeyGen HyperFrames

We built our launch video in Claude Code using HyperFrames. Now it's yours. Open source, agent-native framework. HTML to MP4. $ npx skills add heygen-com/hyperframes RT + Comment "HyperFrames" to get the full source code of this launch video (must follow)

The Gemma 4 26B A4B and 31B models are now available on Mac with the latest update! The largest and most intelligent models currently available in the app. This update also improves and fixes issues with Gemma 4 on compatible iPhones and iPads.

🦞👾 LM Studio is now an official @openclaw provider! Run: openclaw onboard --auth-choice lmstudio Use your local models with your OpenClaw - it's private and free. Works on Mac, Windows, and Linux. Let's Claw 🦞🦀

So excited to share that @adrgrondin and @LocallyAIApp are joining LM Studio family! Together we are doubling down on Apple platforms to bring you delightful AI experiences across devices. Adrien was able to build a tasteful and much loved app over nights and weekends, and have been crushing it on twitter as well. Could not be more excited to join forces and build the future together. Welcome to the team, Adrien!

Locally AI is joining LM Studio! We are beyond excited to welcome @adrgrondin and @LocallyAIApp to the LM family. Together we are doubling down on native AI experiences across your devices, anywhere you go. Read our announcement lmstudio.ai/blog/locally-a…

Google's new Gemma 4 is excellent, and the 26B MoE version is likely the best model to run on a 32GB Framework Desktop. It's fast, smart, and also great for tool calling if you use it with @openclaw or other local agent platforms.

Say hello to Gemma 4 from @GoogleDeepMind 🚀🔥 💎 Comes in 4 sizes: E2B, E4B, 26B A4B, 31B 💎 Supports vision and reasoning 💎 Apache 2.0 💎 Available now in LM Studio lmstudio.ai/models/gemma-4

We worked with @NVIDIAAI to bring up support for DGX Station GB300 at launch! ✨ 748GB of coherent memory 👾 Install llmster and enable LM Link 🛰️ Load models and use them from other devices Learn how to set it up: lmstudio.ai/blog/dgx-stati… 🚀⚡️🔥

Nemotron 3 Super by @nvidia is now live in LM Studio! 🦾 Open-weight 120B MoE, 12B active params 📜 Supports up to 1M tokens context window Requires about ~83GB to run locally 🚀 lmstudio.ai/models/nemotro…

One of the coolest uses of @lmstudio and @AIatAMD is using LM Link to have a Framework Desktop be a remote inference server for a laptop, including something little like Framework Laptop 12. It feels native on the laptop, but gets the desktop’s performance.

LM Studio featured in Apple's new M5 announcement! 🥳🚀

Ever wanted to take your RTX GPU on the go? Now it's easy to with @LMStudio.

Today @lmstudio introduces LM Link. It's a way to create an end-to-end encrypted connections between your devices, load large open-weight models on your most powerful machine, and use them from any of the others. Everything works seamlessly via the LM Studio UI: local and remote models appear together in the model picker, you can even make API requests to localhost, and they get routed to the right machine. Imagine you have Mac Studio on your desk or gaming PC with a couple of RTX cards. You can now load large models on them, and use them remotely from your laptop. We worked on this feature for a long time, and I'm super excited it's finally out. This is a result of close technical collaboration with the great people at @Tailscale 🤝