🚀 LM Studio now works out of the box with the Docker MCP Toolkit! Skip the messy configs—connect MCP servers in one click to LM Studio. 🛠️ Build agents easily & securely with Docker. 🔗 docs.docker.com/ai/mcp-catal... #DockerAI #MCP #DevTools #LMStudio

yuppp :) github.com/lmstudio-ai/...

M3 Ultra Mac Studio: "Up to 16.9x faster token generation using an LLM with hundreds of billions of parameters in LM Studio when compared to Mac Studio with M1 Ultra" 😳 www.macstories.net/news/apple-r...

I was expecting this to take me a couple of hours to set up (with me getting annoyed about undocumented requirements on Github), but no, a few mins including the mini-model download. LM Studio is very beginner friendly. 🥔⚖️⭕⭕

E tai, o Modelo de IA Deepseek rodando no meu MacBook Air M3 16Gb a 6 tokens por segundo LOCALMENTE. É muito simples, basta baixar o LM Studio , procurar pelo modelo, baixar (5GB) e rodar. Vc tem uma IA de ponta 100% offline rodando no seu computador Surreal.

🚀 Zed v0.170 is out! Zed's assistant can now be configured to run models from @lmstudio. 1. Install LM Studio 2. Download models in the app 3. Run the server via `lms server start` 4. Configure LM Studio in Zed's assistant configuration panel 5. Pick your model in Zed's assistant

Run DeepSeek R1 locally with @lmstudio-ai.bsky.social 🥰🥰🥰

Guess who just figured out how to interact with a local #LLM model in #rstats? 👉This guy!👈 (I did this via @lmstudio-ai.bsky.social using @hadley.nz's 'ellmer' package. Happy to share how I did it if people are interested).

Really enjoying local LLMs. LM Studio appears to be the best option right now. Its support for MLX-based models means I can run LLama 3.1-8b with a full 128k context window on my M3 Max MacBook Pro with 36 GB. Great for document chat, slack synopsis, and more. What is everyone else doing?

VSCode with #Cline plugin connected to a local LM Studio running Qwen 2.5 14B LLM on an M4 pro... Programming prompt compiled and ran the second time after it self-corrected, all tests pass. Code generation took less than a minute to complete. 😳 @lmstudio-ai.bsky.social @vscode.dev

Codestral on LM Studio lowkey slays

@martinctc.bsky.social with a cool blog post showing how to combine local LLM calls with your R code

@lmstudio-ai.bsky.social detected my vulkan llama.cpp runtime out of the box, absolutely magical piece of software ✨

Didn't think I have a chance with a smol 12GB 4070 to run any interesting LLM locally. But Qwen2.5-14B-Instruct-IQ4_XS *slaps*. It's no Claude, but I'm amazed how good it is. (Also shout out to @lmstudio-ai.bsky.social - what a super smooth experience.)

📣🔧Tool Use (beta) Are you using OpenAI for Tool Use? Want to do the same with Qwen, Llama, or Mistral locally? Try out the new Tool Use beta! Sign up to get the builds here: forms.gle/FBgAH43GRaR2... Docs: lmstudio.ai/docs/advance... (requires the beta build to work)

I'm really happy with Tulu 3 8B. Is nice in the hosted demo (playground allenai org), but also quantized running locally on my mac in LM studio D. Feels like a keeper.

LM Studio is magic. You’re going to want a very beefy machine though.

Never realised how easy it is to run LLMs locally. Thought I'd spend at least half a day to get it up and running, but with LM Studio it took me less than 15 min today. I feel like a grampa saying "I used to spend days to get Caffe running, you don't know how easy it is today!" #databs

okay i didn't believe the hype but it's kinda crazy just how good LLMs have gotten over the past few years...

WOW check this out it’s LMStudio.ai @lmstudio-ai.bsky.social running ENTIRELY locally on an NPU from Qualcomm www.tiktok.com/t/ZTYYaN6cn/