Software Alternatives, Accelerators & Startups

LM Studio

Discover, download, and run local LLMs.

LM Studio

LM Studio Reviews and Details

This page is designed to help you find out whether LM Studio is good and if it is the right choice for you.

Features & Specs

  1. User-Friendly Interface

    LM Studio provides an intuitive and easy-to-navigate interface, making it accessible for users of varying technical expertise levels.

  2. Customizability

    The platform offers extensive customization options, allowing users to tailor models according to their specific requirements and use cases.

  3. Integration Capabilities

    LM Studio supports integration with various tools and platforms, enhancing its compatibility and usability in diverse technological environments.

  4. Scalability

    The product is designed to handle projects of various sizes, from small-scale developments to large enterprise applications, ensuring users have room to grow.

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Videos

LM Studio Tutorial: Run Large Language Models (LLM) on Your Laptop

Run a GOOD ChatGPT Alternative Locally! - LM Studio Overview

Run ANY Open-Source Model LOCALLY (LM Studio Tutorial)

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about LM Studio and what they use it for.
  • Qwen3-VL: Sharper Vision, Deeper Thought, Broader Action
    LM Studio[0] is the best "i'm new here and what is this!?" tool for dipping your toes in the water. If the model supports "vision" or "sound", that tool makes it relatively painless to take your input file + text and feed it to the model. [0]: https://lmstudio.ai/. - Source: Hacker News / 8 days ago
  • The Nikki Case: Emergent AI Consciousness and Corporate Response
    LM Studio - Local AI development environment. - Source: dev.to / 25 days ago
  • Llama-Server is All You Need (Plus a Management Layer)
    If you're running LLMs locally, you've probably used Ollama or LM Studio. They're both excellent tools, but I hit some limitations. LM Studio is primarily a desktop app that can't run truly headless, while Ollama requires SSH-ing into your server every time you want to switch models or adjust parameters. - Source: dev.to / 27 days ago
  • Running Docker MCP Toolkit with LM Studio
    LM Studio 0.3.17 introduced Model Context Protocol (MCP) support, revolutionizing how we can extend local AI models with external capabilities. This guide walks through setting up the Docker MCP Toolkit with LM Studio, enabling your local models to access 176+ tools including web search, GitHub operations, database management, and web scraping. - Source: dev.to / 29 days ago
  • Codex CLI: Running GPT-OSS and Local Coding Models with Ollama, LM Studio, and MLX
    The real breakthrough is that Codex also supports open-source, self-hosted models. With the --oss flag or a configured profile, you can run inference locally through providers like Ollama, LM Studio, or MLX. - Source: dev.to / 30 days ago
  • Wornmaxing for Devs: Why Your Old Laptop Is the Ultimate Coding Playground
    Install Local LLMs: Try running lightweight language models like LM Studio or Ollama. Youโ€™ll learn more from the struggle than from a plug-and-play cloud API. - Source: dev.to / about 1 month ago
  • Gemma 3 270M: The compact model for hyper-efficient AI
    Here you go, one click installer - https://lmstudio.ai. - Source: Hacker News / about 2 months ago
  • Version of OpenAIs's new open source 20B model, optimized to run on Mac (MLX)
    So FYI to any one on mac, the easiest way to run these models right now is using LM Studio (https://lmstudio.ai/), its free. You just search for the model, usually 3rd party groups mlx-community or lmstudio-community have mlx versions within a day or 2 of releases. I go for the 8-bit quantizations (4-bit faster, but quality drops). You can also convert to mlx yourself... Once you have it running on LM studio, you... - Source: Hacker News / about 2 months ago
  • Qwen3-4B-Thinking-2507
    Https://lmstudio.ai/ Keep in mind if you run it at the full 262144 tokens of context youll need ~65gb of ram. It's pretty good for summaries etc, can even make simple index.html sites if you're teaching students but it can't really vibecode in my opinion. However for local automation tasks like summarizing your emails, or home automation or whatever it is excellent. It's crazy that we're at this point now. - Source: Hacker News / about 2 months ago
  • OpenAI Open Models
    Thanks openai for being open ;) Surprised there are no official MLX versions and only one mention of MLX in this thread. FYI to any one on mac, the easiest way to run these models right now is using LM Studio (https://lmstudio.ai/), its free. Then you just search for the model, usually 3rd party groups mlx-community or lmstudio-community have mlx versions within a day or 2 of releases. I got for the 8-bit... - Source: Hacker News / about 2 months ago
  • Ollama has a native front end chatbot now
    Looks like a big pivot on target audience from developers to regular users, at least on the homepage https://ollama.com/ [2] https://msty.app/. - Source: Hacker News / 2 months ago
  • Ask HN: How to ask questions to LLMs privately?
    To give folks more of a toehold: LM Studio is a cross platform interface that makes it relatively easy to play with local models. https://lmstudio.ai. - Source: Hacker News / 2 months ago
  • 12 Open Source Alternatives to Popular Software (For Developers)
    LM Studio offers a full desktop GUI for downloading, managing, and chatting with models without touching a terminal. Itโ€™s cross-platform and beginner-friendly. - Source: dev.to / 2 months ago
  • AI: Introduction to Ollama for local LLM launch
    LM Studio: desktop GUI for models management, has chat, can be used as OPENAI_API_BASE, can work as a local API. - Source: dev.to / 4 months ago
  • Reference Architecture for Team AI Productivity
    Your organization may use public models like those deployed on OpenAI, instanced / dedicated models hosted on a service like Azure, or your team may self-host models using something like Ollama or LM Studio. Your team could even use a combination of these by specifying multiple model providers. - Source: dev.to / 3 months ago
  • Indian AI model DESTROYS o3-mini, Google DeepSearch is open source, OpenAI's new models and TypeScript SDK, and more
    LM Studio provides a versatile environment for fine-tuning, deploying, and using language models. Ideal for developers and researchers, it supports running large language models on local hardware, making it a strong choice for custom model training and deployment without relying on cloud-based solutions. - Source: dev.to / 4 months ago
  • Devstral
    I would recommend just trying it out! (as long as you have the disk space for a few models). llama.cpp[0] is pretty easy to download and build and has good support for M-series Macbook Airs. I usually just use LMStudio[1] though - it's got a nice and easy-to-use interface that looks like the ChatGPT or Claude webpage, and you can search for and download models from within the program. LMStudio would be the easiest... - Source: Hacker News / 4 months ago
  • Reference Architecture for AI Developer Productivity
    For organizations wanting extreme control, a model can be deployed and hosted on network so your data never leaves your premises. Technologies like Ollama and LM Studio allow you to run LLMs on your own devices for free, though these do not typically provide access to some of the more recent commercial models. - Source: dev.to / 5 months ago
  • The ultimate open source stack for building AI agents
    If youโ€™re running it locally, try LM Studio or Ollama + chat UI for instant frontend hooks. - Source: dev.to / 5 months ago
  • Escape Big AI: Your FREE, Private AI Chat Starts Here with LM Studio! ๐Ÿš€
    Visit the official LM Studio website: https://lmstudio.ai/. - Source: dev.to / 5 months ago
  • Qwen2.5-VL-32B: Smarter and Lighter
    I just started self hosting as well on my local machine, been using https://lmstudio.ai/ Locally for now. I think the 32b models are actually good enough that I might stop paying for ChatGPT plus and Claude. I get around 20 tok/second on my m3 and I can get 100 tok/second on smaller models or quantized. 80-100 tok/second is the best for interactive usage if you go above that you basically canโ€™t read as fast as it... - Source: Hacker News / 6 months ago

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Is LM Studio good? This is an informative page that will help you find out. Moreover, you can review and discuss LM Studio here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.