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For WWDC, we worked with Apple to run Kimi K2.6, a 1T-parameter model, across a cluster of four Mac Studios using a preview version of LM Studio.
We showcased secure remote access from a MacBook Neo and iPhone using LM Link.
A glimpse of your own private, frontier-scale AI.
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LM Studio retweeted
One of the coolest in person demos at #wwdc26 was @lmstudio running massive local models on 4 daisy chained Mac Studios with a total of 2tb memory
Then they pulled out an iPhone and chatted with those models remotely over a secure connection
I need to find a use for this
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LM Studio retweeted
LM Studio on stage for WWDC at the Steve Jobs Theater demonstrating MLX distributed on 4 Mac Studio!
Coming later this year @lmstudio 👾
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LM Studio retweeted
We made @lmstudio's MLX Engine a lot faster in the latest release.
Read the technical deep dive from @ostensiblyneil.
P.S. it's all open source!
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Gemma 4 QAT is here.
Available for all sizes of Gemma 4, optimized with Quantization-Aware Training (QAT) to reduce memory requirements while preserving performance.
Live now in LM Studio. lmstudio.ai/models/gemma-4
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Locally is now LM Studio’s mobile app. And today we're bringing LM Link to iPhone.
Use your largest local models over a secure, end-to-end encrypted connection, anywhere you go.
Download the app now: lmstudio.ai/locally
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Gemma 4 model load issues fixed in engine version 2.20.1.
lms runtime update --all
Gemma 4 12B is here!
Dense, mid-sized Gemma that fits right on your laptop - released by @google under Apache 2.0
Available now in LM Studio lmstudio.ai/models/google/ge…
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Gemma 4 12B is here!
Dense, mid-sized Gemma that fits right on your laptop - released by @google under Apache 2.0
Available now in LM Studio lmstudio.ai/models/google/ge…
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Make sure to update your runtime first!
> lms runtime update --all
Learn more about this model release
Meet Gemma 4 12B!
A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.
Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇
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MTP means Multi Token Prediction. It's a speculative decoding technique that can result in large inference speedups in many cases.
1. Update to LM Studio 0.4.14
2. Download a model that supports MTP like Qwen3.6-35B-A3B-MTP-GGUF or Qwen3.6-27B-MTP-GGUF
3. Enable it when loading the model
Supported for GGUF/llama.cpp models 🚀
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LM Studio retweeted
Subagents running locally and simultaneously on MacBook Pro M5 with Codex CLI + @lmstudio to review code and find bugs using Qwen 3.6
Powered by the updated MLX engine with batching in beta in the app
The batching speed boost is noticeable
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Use your LM Studio models to code locally in @zeddotdev 🚀
Local model usage grew 3x in Zed's agent in the last 10 weeks. Cameron Mcloughlin on why he prefers local:
"I worry about over-reliance on providers that operate like SaaS platforms, where a change of pricing or setup makes them unfeasible to use. With a local model, you always have access."
Read more: zed.dev/blog/local-ai-in-zed
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Batching for vision models is now available in Beta with our latest MLX engine update 👾
The updated engine also brings major improvements to caching for faster inference overall.
Turn on Developer Mode, choose the beta runtime channel, and select LM Studio MLX v1.8.1.
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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
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Very few spots available. Grab yours: luma.com/3r7i1557
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