Unsloth Studio

7 comments

• trvz 1 hour ago
  Installing with pip on macOS is just not an acceptable option. It'll mess up your system just like npm or gem.

  This needs to go on homebrew or be a zip file with an app for manual download.

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  • DIVx0 1 hour ago
    Agree with you, a slightly more maintainable way to use it now is with "uv" or mise. i've used `uv tool install unsloth` for this one.
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    • danielhanchen 51 minutes ago
      Yep - uv is a better fit - and you get parallel downloads as well
  • danielhanchen 53 minutes ago
    Hey we're still working on making installation much better - appreciate the feedback!

    We come from Python land mainly so packaging and distribution is all very new to us - homebrew will definitely be next!
  • beernet 1 hour ago
    Agreed, feels like a vibe-coded frontend based on already given backend features.

    Also, never saw any Unsloth related software in production to this day. Feels strongly like a non-essential tool for hobby LLM wizards.

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    • danielhanchen 47 minutes ago
      You would be surprised - we're the 4th largest independent distributor of LLMs in the world - and nearly every Fortune 500 company has utilized either our RL fine-tuning package or used our quants and models - we for example collab directly with large labs to release models with bug fixes.
    • airspresso 20 minutes ago
      Unsloth is providing the best and most reliable libraries for finetuning LLMs. We've used it for production use-cases where I work, definitely solid.
  • bityard 1 hour ago
    I recommend installing uv first, then you can install any Python code you want inside a virtual environment to keep it isolated from the rest of the system.
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    • danielhanchen 51 minutes ago
      Yep uv pip install unsloth works as well - we probably should have just made that the default - in fact Unsloth makes its own venv using UV if you have it dynamically
  • Computer0 1 hour ago
    On my linux systems I use venv to not affect system packages, is that not an option for this situation?
  • gessha 57 minutes ago
    I know the whole package system across most languages is a dumpster fire but for Python, uv solves a lot of problems.

    uv init

    uv add unsloth

    uv run main.py % or whatever

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    • danielhanchen 42 minutes ago
      Yep UV is fantastic - should have just that default!
• car 37 minutes ago
  Tried to build from source on MacOS, but got this error:

    (base)   unsloth git:(main) unsloth studio setup
    ╔══════════════════════════════════════╗
    ║     Unsloth Studio Setup Script      ║
    ╚══════════════════════════════════════╝ 
     Node v25.8.1 and npm 11.11.0 already meet requirements. Skipping nvm install.
     Node v25.8.1 | npm 11.11.0
     npm run build failed (exit code 2):
  
    > [email protected] build
    > tsc -b && vite build
  
    src/features/chat/shared-composer.tsx(366,17): error TS6133: 'status' is declared but its value is never read.

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  • danielhanchen 20 minutes ago
    Hey will check ASAP and fix - sorry about that
• zokier 58 minutes ago
  What is unsloths business/income? They seem to be publishing lot of stuff for free, with no clear product to back them?
• car 40 minutes ago
  Can Unsloth Studio use already downloaded models?
• meowokIknewit 2 hours ago
  The GUI for the fine tuning looks interesting. Hopefully this leads to a lot of new custom models
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  • danielhanchen 47 minutes ago
    Thank you! We're still iterating on it so any suggestions are welcome!
• jawerty 3 hours ago
  Excited to use this been using unsloth models for the past couple years
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  • danielhanchen 46 minutes ago
    Thank you for your continued support - we have much more planned for it!
• saberience 1 hour ago
  Who's the intended user for this?

  Is it like, for AI hobbyists? I.e. I have a 4090 at home and want to fine-tune models?

  Is it a competitor to LMStudio?

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  • danielhanchen 31 minutes ago
    You would be surprised! Nearly every Fortune 500 company has utilized either our RL fine-tuning package or used our quants and models - the UI was primarily a culmination of pain points folks had when doing either training or inference!

    We're complimentary to LM Studio - they have a great tool as well!
  • huydotnet 42 minutes ago
    you just answered your own question, "AI hobbyists who has 4090 at home". And they are pretty much targeted user of Unsloth since the start.
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    • danielhanchen 29 minutes ago
      Actually the opposite haha- more than 50% of our audience comes from large organizations eg Meta, NASA, the UN, Walmart, Spotify, AWS, Google, and the list goes on!
  • lastdong 1 hour ago
    From the homepage looks like it: “Training: Works on NVIDIA GPUs: RTX 30, 40, 50, Blackwell, DGX Spark/Station etc.”
  • mlnj 1 hour ago
    I am unaware lm studio is being used for fine tuning. I believe it only does inference.

    Happy to see unsloth making it even easier for people like me to get going with fine tuning. Not that I am unable to I'm just lazy.

    Fine tuning with a UI is definitely targeted towards hobbyists. Sadly I'll have to wait for AMD ROCm support.

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    • danielhanchen 19 minutes ago
      Thanks! We do have normal AMD support for Unsloth but yes the UI doesn't support it just yet! Will keep you posted!