Readit Newsyags commented on Venvstacks: Virtual Environment Stacks for Python lmstudio.ai/blog/venvstac... · Posted by u/ingve
Couple more resources:
Github Repo: https://github.com/lmstudio-ai/venvstacks
Blog post: https://lmstudio.ai/blog/venvstacks
yags commented on LM Studio 0.3 – Discover, download, and run local LLMs lmstudio.ai/blog/lmstudio... · Posted by u/fdb
I filed a GitHub issue two weeks ago about a bug that was enough for me to put it down for a bit, and there’s been not even a response. Their development velocity seems incredible, though. I’m not sure what to make of it.
We probably just missed it. Can you please ping me on it? “@yagil” on GitHub
yags commented on LM Studio 0.3 – Discover, download, and run local LLMs lmstudio.ai/blog/lmstudio... · Posted by u/fdb
Nice, it’s a solid product! It’s just a shame it’s not open source and its license doesn’t permit work use.
Thanks! We actually totally permit work use. See https://lmstudio.ai/enterprise.html
yags commented on LM Studio 0.3 – Discover, download, and run local LLMs lmstudio.ai/blog/lmstudio... · Posted by u/fdb
Hello Hacker News, Yagil here- founder and original creator of LM Studio (now built by a team of 6!). I had the initial idea to build LM Studio after seeing the OG LLaMa weights ‘leak’ (https://github.com/meta-llama/llama/pull/73/files) and then later trying to run some TheBloke quants during the heady early days of ggerganov/llama.cpp. In my notes LM Studio was first “Napster for LLMs” which evolved later to “GarageBand for LLMs”.
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/.
Cheers!
-Yagil
We're hiring for the following roles:
- Systems Eng: work on LM Studio's runtime and internal libraries, contribute to llama.cpp and MLX (C++, Python)
- Application Eng: work on LM Studio's desktop app, daemon, SDKs, and CLI (TypeScript, NodeJS, C++, React)
- Applied AI: push the boundaries of what's possible for agentic software with local AI (Python, C++, TypeScript)
- Frontend Eng: invent new kinds of human / AI interaction UX, ship software to millions of people worldwide (TypeScript, React)
See all roles and apply here: https://lmstudio.ai/careers