Updates for developers building with @lmstudio 👾
Joined June 2025
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State → local decision model → action
Check out @liquidai's d1 decision model playing Lmmy Run, all on its own 🦖👾
Served 100% on-device, making decisions in a fraction of a second
LM Studio Developers retweeted
DeepSeek-V4.1-Flash-1017 is now live in LM Studio Bionic!
1M context • image input • highly cost effective
US-hosted with full ZDR.
Try it out for coding tasks!
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
LM Studio Developers retweeted
Nemotron 3.5 Super VL from @NVIDIAAI is live in LM Studio!
• 120B total / 12B active MoE
• Supports vision input, reasoning
• Trained for visual understanding, tool use
Requires ~70GB RAM to run locally 🚀 👾
lmstudio.ai/models/nemotron-…
Stack used for the demo:
Model server - @lmstudio
Model - d1 by @liquidai
Inference runtime - @llama_cpp
Lmmy Run is based on github.com/wayou/t-rex-runne…
Check out the docs for how to do it yourself!
lmstudio.ai/docs/developer/j…
LM Studio 0.4.26 is out now!
• ⚡️ `/v1/systemone` and `/v1/decisions` APIs
• 👾 Coexistence with Bionic
• 🎨 UI updates and bug fixes
Yes, you can now point your Bionic agent to models loaded in your LM Studio.
lmstudio.ai/docs/developer/j…
LM Studio Developers retweeted
Qwen3.8-27B, up to 144 tok/sec on M5 Max.
Let that sink in. ⚡️✨🚀
Excited to partner with @inco_ai to bring you their Splash inference engine in LM Studio on day 0!
Get it running now: lmstudio.ai/blog/splash-engi…
LM Studio Developers retweeted
Introducing Introspection and Session References
Bionic agent can now search through its own session history, making it much more capable of handling long-term context and multiple compactions.
You can also reference other sessions directly in the composer using an @ mention!
LM Studio Developers retweeted
Linux just got a local AI upgrade. 🐧
Congrats to @lmstudio on bringing Bionic to Linux, making it even easier to run local agents and open models on NVIDIA hardware.
RT @lmstudio: Introducing Auto Review for tool requests
Bionic uses AST parsing, command matching, and a reviewer subagent to auto-approve…
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Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
LM Studio Developers retweeted
Meet LM Studio Bionic.
The Agent made for Open Models.
lmstudio.ai/bionic
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!
