Unsloth Studio

https://unsloth.ai/docs/new/studio

by brainless • 4 months ago

388 82 4 months ago

unsloth.ai

jawerty• 4 months ago

Excited to use this been using unsloth models for the past couple years

danielhanchen17• 4 months ago

Thank you for your continued support - we have much more planned for it!

meowokIknewit• 4 months ago

The GUI for the fine tuning looks interesting. Hopefully this leads to a lot of new custom models

danielhanchen17• 4 months ago

Thank you! We're still iterating on it so any suggestions are welcome!

saberience• 4 months 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?

mlnj• 4 months 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.

danielhanchen17• 4 months ago

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

lastdong• 4 months ago

From the homepage looks like it: “Training: Works on NVIDIA GPUs: RTX 30, 40, 50, Blackwell, DGX Spark/Station etc.”

huydotnet• 4 months 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.

danielhanchen17• 4 months 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!

danielhanchen17• 4 months 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!

TheTaytay• 4 months ago

I don’t know why this is being downvoted. Danielhanchen is legit, and unsloth was early to the fine-tuning on a budget party.

trvz• 4 months 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.

DIVx0• 4 months 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.

danielhanchen17• 4 months ago

Yep - uv is a better fit - and you get parallel downloads as well

Computer0• 4 months ago

On my linux systems I use venv to not affect system packages, is that not an option for this situation?

beernet• 4 months 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.

danielhanchen17• 4 months 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• 4 months 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.

ta9000• 4 months ago

Even a brief reading of their site would have spared you this embarrassment.

bityard• 4 months 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.

danielhanchen17• 4 months 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

gessha• 4 months 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

danielhanchen17• 4 months ago

Yep UV is fantastic - should have just that default!

danielhanchen17• 4 months 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!

jszymborski• 4 months ago

Would pipx solve the problem?

https://pipx.pypa.io/stable/installation/

mmis10002• 4 months ago

Uv helps you up though. Use a pyproject.toml and uv sync. Everything will be put into the venv only, nothing spread across the whole system.

The pyproject.toml can even handles build env for you, so you no longer need a setup.sh that installs 10 tool in specific order with specific flag to produce working environment. A single uv sync, and the job is done.

Plus the result is reproducible, so if this time uv sync work, then it also work next time.

Highly recommend if you are still on pip.

Note: Take a example that I used to install unsloth with rocm setup that based on unreleased git version dependencies and graphic card specific build flag, all of them can be handled with one command 'uv sync'. This will require a big pile of shell script if doing another way. https://github.com/unslothai/unsloth/issues/4280#issuecommen...

smcleod• 4 months ago

Ah yes, came to say something similar, Python dependencies are an absolute nightmare, even with uv it feels like there's always a battle to make other peoples Python apps install.

Update: It looks like it doesn't work with the current Python version, you might have to downgrade to Python 3.13 (however even then I still get `error: unexpected argument '--torch-backend' found`)

zokier3• 4 months ago

What is unsloths business/income? They seem to be publishing lot of stuff for free, with no clear product to back them?

danielhanchen17• 4 months ago

Hey! Our primary objective for now is to provide the open source community with cool and useful tooling - we found closed source to be much more popular because of better tooling!

We have much much in the pipeline!!

brainless• 4 months ago

Thanks! How do you earn or keep yourself afloat? I really like what you guys are doing. And similar orgs. I am personally doing the same, full-time. But I am worried when I will run out of personal savings.

csomar• 4 months ago

You didn't answer the parent question.

kartaka83838• 4 months ago

that doesnt sound reassuring?

throwa356262• 4 months ago

With a team size of eight (!) I think they are not exactly bleeding money

car3• 4 months ago

Can Unsloth Studio use already downloaded models?

nodja• 4 months ago

IDK how it did but it detected my LM studio downloaded models I have on a spinning drive (they're not in the default location).

car3• 4 months 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):

  > unsloth-theme@0.0.0 build
  > tsc -b && vite build

  src/features/chat/shared-composer.tsx(366,17): error TS6133: 'status' is declared but its value is never read.

danielhanchen17• 4 months ago

Hey will check ASAP and fix - sorry about that

danielhanchen17• 4 months ago

Apologies on the delay - we fixed it! Please re-try with:

curl -LsSf https://astral.sh/uv/install.sh | sh

uv venv unsloth_studio --python 3.13

source unsloth_studio/bin/activate

uv pip install unsloth --torch-backend=auto

unsloth studio setup

unsloth studio -H 0.0.0.0 -p 8888

car3• 4 months ago

Thank you for the follow up! Big fan of your models here, thanks for everything you are doing!

Works fine on MacOS now (chat only).

On Ubuntu 24.04 with two GPU's (3090+3070), it appears that Llama.cpp sometimes uses the CPU and not GPU. This is judging from the tk/s and CPU load for identical models run with US-studio vs. just Llama.cpp (bleeding edge).

illusive40803• 4 months ago

Apache license. Can’t wait to try it out at work! LMStudio’s proprietary license makes getting permission hard.

halJordan• 4 months ago

Some of it is Apache

smcnally• 4 months ago

Some of unsloth studio’s code is Apache? Or some of lmstudio is?

yomansat• 4 months ago

FYI, if any devs are around, the privacy policy still links to the gitbook.

danielhanchen17• 4 months ago

Oh will check and fix - thanks

jacquesm• 4 months ago

Unsloth is the real thing. Highly recommended for those running their own AI engines and that want to get the most out of them.

yacin• 4 months ago

wish there were an option to disable the annoying startup messages with emojis when using the library.

ma2kx• 4 months ago

Nice! Is there something planned to run the finetuning via hf jobs or runpod?

peddling-brink• 4 months ago

This looks really cool. Any chance you'll support pretraining runs as well?

claaams• 4 months ago

Will check back when there's AMD support.

kuon• 4 months ago

I hope you will support AMD. This looks Nice but I went the complicated route with AMD GPUs.

MrDrMcCoy3• 4 months ago

They state that they're working on it. I'm waiting, too.

fl0id• 4 months ago

Does it use gpu support on mac? At least when running setup, it said cpu only.

keyle• 4 months ago

I noticed the training part, that was interesting for my use case. Unfortunately it's said 'on NVIDIA'.

Is there an alternative, tutorial, or project you'd recommend that would help me do supervised fine tuning (SFT) with the metal stack / macOS?

TiredOfLife• 4 months ago

Use that mac to rent Nvidia gpus

kahrl• 4 months ago

lol.

syntaxing• 4 months ago

Mac: Like CPU - Chat only works for now. MLX training coming very soon

MrDrMcCoy3• 4 months ago

They state further down that they're working on non-Nvidia support. Looking forward to it, since I'm pretty heavily invested in suffering on AMD (ROCm sucks, but everything else about AMD is worth it to me.).

Havoc• 4 months ago

Congrats to team. Busy build a dataset for training so will def test it out

ontouchstart4• 4 months ago

I still have trouble to get unsloth studio setup working on my MacBook because of Python tooling issues.

However, since I already have pi working with llama.cpp server from a docker container, I did a quick experiment to compare three code bases:

https://gist.github.com/ontouchstart/7483c12efa3c3d3a49e38c2...

https://gist.github.com/ontouchstart/217fe2b8103a5c0bfaee1e9...

Very interesting.

Will do it again next week if I can get unsloth studio working.

danielhanchen17• 4 months ago

If you can try again we just updated the process sorry! We did a new pypi release:

curl -LsSf https://astral.sh/uv/install.sh | sh

uv venv unsloth_studio --python 3.13

source unsloth_studio/bin/activate

uv pip install unsloth==2026.3.7 --torch-backend=auto

unsloth studio setup

unsloth studio -H 0.0.0.0 -p 8888

ontouchstart4• 4 months ago

Thank you Daniel.

Here is the error message on my machine:

https://gist.github.com/ontouchstart/86ca3cbd8b6b61fa0aeec75...

It seems we might need more instructions on how to set up python (via uv) in vanilla MacOS.

ontouchstart4• 4 months ago

Daniel, it works now. Thanks for the hard work!

https://gist.github.com/ontouchstart/532312fcba59aec3ce7f6aa...

pentagrama• 4 months ago

LM Studio user here. Unsloth looks great, wanted to check it out, but there is no app file to download and install? Sorry I'm not familiar with the command line.

Unsloth Studio

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