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!
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.
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.
From the README at https://github.com/unslothai/unsloth: "Unsloth uses a dual-licensing model of Apache 2.0 and AGPL-3.0. The core Unsloth package remains licensed under Apache 2.0, while certain optional components, such as the Unsloth Studio UI are licensed under AGPL-3.0."
What do you mean by custom LMStudio license? Your employer requires reviews of proprietary EULAs or do you try to get a custom licensing deal from LMStudio?
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.).
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).
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.
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...
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.
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
I think the website should probably mention those installation preset in unsloth pyproject.toml though. The website instruct you to install dependencies separately. But it turns out there are dedicated preset that install specific rocm/cuda/xpu version in the project.
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`)
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.
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!
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.
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!
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.
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.
What is unsloths business/income? They seem to be publishing lot of stuff for free, with no clear product to back them?
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?
With a team size of eight (!) I think they are not exactly bleeding money
Unsloth is the real thing. Highly recommended for those running their own AI engines and that want to get the most out of them.
Apache license. Can’t wait to try it out at work! LMStudio’s proprietary license makes getting permission hard.
Some of it is Apache
Some of unsloth studio’s code is Apache? Or some of lmstudio is?
From the README at https://github.com/unslothai/unsloth: "Unsloth uses a dual-licensing model of Apache 2.0 and AGPL-3.0. The core Unsloth package remains licensed under Apache 2.0, while certain optional components, such as the Unsloth Studio UI are licensed under AGPL-3.0."
Good to know. AGPL is fine at my workplace too, whereas the custom LMStudio license has been in review since mid January with no ETA in sight.
What do you mean by custom LMStudio license? Your employer requires reviews of proprietary EULAs or do you try to get a custom licensing deal from LMStudio?
Employer must review all EULA terms, yes. The license is a hand crafted proprietary license not a standard OS license.
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?
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.).
> Mac: Like CPU - Chat only works for now. MLX training coming very soon
Use that mac to rent Nvidia gpus
lol.
Tried to build from source on MacOS, but got this error:
Hey will check ASAP and fix - sorry about that
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).
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.
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.
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.
Yep - uv is a better fit - and you get parallel downloads as well
It's not just uv, it also will drop an nvm install in your home directory :(
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!
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...
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.
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
I think the website should probably mention those installation preset in unsloth pyproject.toml though. The website instruct you to install dependencies separately. But it turns out there are dedicated preset that install specific rocm/cuda/xpu version in the project.
or `uv tool install unsloth` for a safe 'global' installation
On my linux systems I use venv to not affect system packages, is that not an option for this situation?
Would pipx solve the problem?
https://pipx.pypa.io/stable/installation/
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
Yep UV is fantastic - should have just that default!
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`)
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.
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.
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.
Glad it was helpful!
Even a brief reading of their site would have spared you this embarrassment.
I hope you will support AMD. This looks Nice but I went the complicated route with AMD GPUs.
They state that they're working on it. I'm waiting, too.
Will check back when there's AMD support.
The GUI for the fine tuning looks interesting. Hopefully this leads to a lot of new custom models
Thank you! We're still iterating on it so any suggestions are welcome!
FYI, if any devs are around, the privacy policy still links to the gitbook.
Oh will check and fix - thanks
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?
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 :)
From the homepage looks like it: “Training: Works on NVIDIA GPUs: RTX 30, 40, 50, Blackwell, DGX Spark/Station etc.”
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.
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.
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.
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!
Does it use gpu support on mac? At least when running setup, it said cpu only.
Excited to use this been using unsloth models for the past couple years
Thank you for your continued support - we have much more planned for it!
Congrats to team. Busy build a dataset for training so will def test it out
This looks really cool. Any chance you'll support pretraining runs as well?
Nice! Is there something planned to run the finetuning via hf jobs or runpod?
Can Unsloth Studio use already downloaded models?
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).
wish there were an option to disable the annoying startup messages with emojis when using the library.
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