Lm Studio 0 3 5 Lm Studio Blog

LM Studio 0.3.5 introduces headless mode, on-demand model loading, and updates to mlx-engine to support Pixtral (MistralAI's vision-enabled LLM). 👾 We are hiring a TypeScript SDK Engineer in NYC to build apps and SDKs for on-device AI In this release we're adding a combination of developer-facing features aimed at making it much more ergonomic to use LM Studio as your background LLM provider. We've implemented headless mode, on-demand model loading, server auto-start, and a new CLI command to download models from the terminal. These features are useful for powering local web apps, code editor or web browser extensions, and much more. Normally, to use LM Studio's functionality you'd have to keep the application open.

This sounds obvious when considering LM Studio's graphical user interface. But for certain developer workflows, mainly ones that use LM Studio exclusively as a server, keeping the application running results in unnecessary consumption of resources such as video memory. Moreover, it's cumbersome to remember to launch the application after a reboot and enable the server manually. No more! Enter: headless mode 👻. Headless mode, or "Local LLM Service", enables you to leverage LM Studio's technology (completions, chat completions, embedding, structured outputs via llama.cpp or Apple MLX) as local server powering your app.

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Connect and share knowledge within a single location that is structured and easy to search. Image input improvements, MiniMax M2 tool calling, Flash Attention default for CUDA, new CLI runtime management, macOS 26 support, and bug fixes. Open safety reasoning models (120B and 20B) with bring-your-own-policy moderation, now supported in LM Studio on launch day. LM Studio now ships for Linux on ARM and launches with NVIDIA DGX Spark — a tiny but mighty Linux ARM box. Bug fixes: Qwen tool-calling streaming, Vulkan iGPU loading, and developer role support in /v1/responses. Use OpenAI's Responses API with local models

There was an error while loading. Please reload this page. Hi. Windows 11 is catching LM Studio 0.3.5 as malware. It says that it contains the "Trojan:Win32/Cinjo.O!cl" malware. Not sure if this is a false positive.

Steps to reproduce What were you doing right before this issue happened? I just clicked on the shortcut of LM Studio EXE file on my desktop. If applicable, mention exactly which model you were using No model was used, was just booting LM Studio My setup Operating system Windows 11 Business Version 10.0.22621 Build 22621 RAM 32 GB GPU type GPU VRAM (for non-Mac) Intel Processor type Processor 13th Gen Intel(R) Core(TM) i5-1335U, 1300 Mhz, 10 Core(s), 12 Logical Processor(s) As AI use cases continue to expand — from document summarization to custom software agents — developers and enthusiasts are seeking faster, more flexible ways to run large language models (LLMs).

Running models locally on PCs with NVIDIA GeForce RTX GPUs enables high-performance inference, enhanced data privacy and full control over AI deployment and integration. Tools like LM Studio — free to try — make this possible, giving users an easy way to explore and build with LLMs on their own hardware. LM Studio has become one of the most widely adopted tools for local LLM inference. Built on the high-performance llama.cpp runtime, the app allows models to run entirely offline and can also serve as OpenAI-compatible application programming interface (API) endpoints for integration into custom workflows. The release of LM Studio 0.3.15 brings improved performance for RTX GPUs thanks to CUDA 12.8, significantly improving model load and response times. The update also introduces new developer-focused features, including enhanced tool use via the “tool_choice” parameter and a redesigned system prompt editor.

The latest improvements to LM Studio improve its performance and usability — delivering the highest throughput yet on RTX AI PCs. This means faster responses, snappier interactions and better tools for building and integrating AI locally. Say hello to LM Studio, a super-friendly desktop app that lets you download, chat with, and tinker with large language models (LLMs) like Llama, Phi, or Gemma—all locally. It’s like having your own private ChatGPT, but you’re the boss of your data. In this beginner’s guide, I'll be walking you through how to set up and use LM Studio to nlock AI magic, no PhD needed. Whether you’re coding, writing, or just geeking out, this tool’s a game-changer.

Ready to dive in? Let’s make some AI sparks fly! So, what’s LM Studio? It’s a cross-platform app (Windows, Mac, Linux) that brings large language models to your computer, no internet or cloud service required. Think of it as a cozy hub where you can browse, download, and chat with open-source LLMs from Hugging Face, like Llama 3.1 or Mistral. LM Studio handles the heavy lifting—downloading models, loading them into memory, and serving up a ChatGPT-like interface—so you can focus on asking questions or building cool stuff.

Users rave about its “dead-simple setup” and privacy perks, since your data never leaves your machine. Whether you’re a coder, writer, or hobbyist, LM Studio makes AI feel like a breeze. Why go local? Privacy, control, and no subscription fees—plus, it’s just plain fun to run AI on your rig. Let’s get you set up! Getting LM Studio running is easier than assembling IKEA furniture—promise!

The docs at lmstudio.ai lay it out clearly, and I’ll break it down for you. Here’s how to start your AI adventure. LM Studio is chill, but it needs some juice: LM Studio's latest version, 0.3.5, unveils headless mode and on-demand model loading among other developer-friendly features. Headless mode allows users to operate LM Studio as a background server without a graphical interface, conserving resources like video memory. The new on-demand model loading lets models load only upon request, improving efficiency and reducing initial delays while the software introduces API changes and updates to mlx-engine for enhanced functionality.

What LM Studio is today is a an IDE / explorer for local LLMs, with a focus on format universality (e.g. GGUF) and data portability (you can go to file explorer and edit everything). The main aim is to give you an accessible way to work with LLMs and make them useful for your purposes. Folks point out that the product is not open source. However I think we facilitate distribution and usage of openly available AI and empower many people to partake in it, while protecting (in my mind) the business viability of the company. LM Studio is free for personal experimentation and we ask businesses to get in touch to buy a business license.

At the end of the day LM Studio is intended to be an easy yet powerful tool for doing things with AI without giving up personal sovereignty over your data. Our computers are super capable machines, and everything that can happen locally w/o the internet, should. The app has no telemetry whatsoever (you’re welcome to monitor network connections yourself) and it can operate offline after you download or sideload some models. 0.3.0 is a huge release for us. We added (naïve) RAG, internationalization, UI themes, and set up foundations for major releases to come. Everything underneath the UI layer is now built using our SDK which is open source (Apache 2.0): https://github.com/lmstudio-ai/lmstudio.js.

Check out specifics under packages/. Has anyone found the same thing, or was that a fluke and I should try LM Studio again?

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