Thrilled to be featured in Apple's new 512GB Mac Studio product page! ??????
关于我们
Download and run local LLMs on your computer ?? https://lmstudio.ai/download
- 网站
-
https://lmstudio.ai
LM Studio的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 总部
- Brooklyn
- 类型
- 私人持股
- 创立
- 2023
地点
-
主要
US,Brooklyn
LM Studio员工
动态
-
LM Studio转发了
LM Studio is a fantastic tool for discovering, downloading, and running local LLMs right on your machine. It works with Mac, Windows, or Linux... and it is FREE. With it, you can: ?? Run LLMs on your laptop, entirely offline ?? Chat with your local documents (new in 0.3) ?? Use models through the in-app Chat UI or an OpenAI compatible local server ?? Download any compatible model files from Hugging Face ?? repositories ?? Discover new & noteworthy LLMs right inside the app's Discover page Give it a shot here: https://lmstudio.ai/
-
-
Google's Gemma 3 models are now available to download and run in LM Studio! ?????? 4B, 12B, 27B Gemma 3 models support both text and image inputs. Built from the same research & tech Google DeepMind used for the Gemini models!
-
-
LM Studio转发了
So, I stumbled across something pretty cool today. LM Studio just dropped Python and TypeScript SDKs for local LLMs. What caught my eye is their new agent-oriented API with this .act() call. Basically, you hand it a task and some tools, and then the model autonomously does its thing until it completes what you asked it to do. It's like hiring a tiny digital contractor who works in "rounds" until the job is done. Both libraries are MIT-licensed and open source on GitHub, which is always a plus in my book. You'll need LM Studio version 0.3.11 to make it work. Getting it set up is pretty straightforward. Python: pip install lmstudio JS/TS: npm install @lmstudio/sdk I've been messing around with local LLMs lately because, well, what engineer wouldn't? The cloud is someone else's computer, but my computer is right here, and I like having my models where I can see them. This SDK seems like it could cut through a lot of the implementation headaches. Is anyone else planning to build something with this? I'm curious what people might come up with! Do you wanna build a (snowman…) I mean, agent tool, automation system, or perhaps something I haven't even thought of yet?
-
-
How do you predictably enforce the output format from an open source local model? ?? Use Pydantic and lmstudio-python ?? Learn more: https://lnkd.in/e6iCRZ9i
-
-
Announcing the LM Studio SDK for Python and TypeScript! As a part of the SDK, we also introduce our first agent-oriented API: the .act() call. You provide a task and tools, and the model goes on its own autonomously for multiple turns until it accomplishes the task. Read all about it in the announcement blog post: https://lnkd.in/es2hG_sz
-
-
Introducing LM Studio 0.3.10 with ?? Speculative Decoding! It's an LLM inferencing technique that can speed up token generation by up to 1.5x-3x in some cases ????? - Supported for both GGUF and MLX models - Available in both LM Studio's Chat UI and API Get LM Studio 0.3.10 from https://lmstudio.ai