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

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).

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

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

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

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.

I have been updating the gist above and will stop this

``` ../scipy/meson.build:274:9: ERROR: Dependency lookup for OpenBLAS with method 'pkgconfig' failed: Pkg-config for machine host machine not found. Giving up. ```

Too much work.

Glad it was helpful!

Oh will check and fix - thanks

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!!

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.

I've been wondering this since they started it, mostly as a concern they stay afloat. Since Daniel does the work of ten, it seems like their value:cost ratio is world-class at the very least.

With the studio release, it seems to like they could be on the path to just bootstrapping a unicorn or a 10x corn or whatever that's called, which is super interesting. Anyway, his refusal to go into details reassures me, sounds like things are fine, and they're shipping. Vai com dios

Daniel is a very impressive guy. Well within the realm of “fund the people not the idea” that YC seems to do. Got a few bucks from them and probably earning from collaborations etc. Odds of them not figuring out a business model seem slim.

https://www.ycombinator.com/companies/unsloth-ai

From comments elsewhere in this thread, it sounds like Unsloth could also be getting some decent consulting revenue from larger companies.

The opportunity here is HUUUUGGGEEEE!!!

Companies have no idea what they are doing, they know they need it, they know they want it, engineers want it, they don’t have it in their ecosystem so this is a perfect opportunity to come in with a professional services play. We got you on inference training/running, your models, all that, just focus on your business. Pair that with huggingface’s storage and it’s a win/win.

Investments are not income

You didn't answer the parent question.

They don't owe anyone an answer.

But if they want to attract users, like they seem to do, then answering would go long way.

that doesnt sound reassuring?

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

What does "normal AMD support" mean here? I was completely unable to get it working on my Ryzen AI 9700 XT. I had to munge the versions in the requirements to get libraries compatible with recent enough ROCm, and it didn't go well at all. My last attempt was a couple weeks before studio was announced.

Hey will check ASAP and fix - sorry about that

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!

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!

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

Haha no worries at all :)

Yep UV is fantastic - should have just that default!