Unsloth Studio - Open-source web UI to run and train AI models.
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Unsloth Studio is an open-source, no-code web UI for training, running, and exporting LLMs locally. It transforms unstructured files into datasets and lets you fine-tune models 2x faster with 70% less VRAM, all without writing complex training scripts.
Replies
Flowtica Scribe
Hi everyone!
Unsloth Studio just made fine-tuning models way more intuitive and accessible.
Instead of writing complex training scripts, you now get a clean GUI for the full workflow β dataset management from PDFs/CSVs, training config, real-time monitoring, and even auto dataset recipes. Everything stays local and private.
Unsloth already had a HUGE following for its super-efficient LoRA fine-tuning. Studio turns that into a full platform, lowering the barrier so way more people can experiment, customize, and have fun with their own models.
This is going to accelerate the whole open model scene!
@zaczuoΒ Thanks for posting about this!
Unsloth
@zaczuoΒ Thank you for the support appreciate it!
great job guys, cant wait to try this
@erildoΒ Thank you! We're open to any suggestions as well :)
Unsloth
@erildoΒ Thank you Erildo appreciate it, hopefully it works great for you. Let us know if you encounter any installation issues :)
Trufflow
This could be a really interesting way to help companies better customize their own LLMs based upon their own company's context, processes, and culture. Is use of the Unsloth's Data Recipes the best way to tackle something like this?
Unsloth
@lienchuehΒ Yes Unsloth Data Recipes allows you to just upload any pdf or csv document and itll convert it into a useable dataset
Prava
This is super cool. have been thinking of building something like this for long time.
Unsloth
@shubham_kukretiΒ Thanks Shubham hopefully you have a great experience :)
Tried Unsloth to fine-tune some Qwen model with LoRA, loved it :)
Unsloth
@zhas_srkΒ Thanks Zhasulan glad you had a great experience :)
Excited to check it out - this feels so much more accessible to us folks who are semi-technical