Unsloth Fine-tunes LLMs (Llama 3, Mistral, Gemma, Qwen, Phi) 2x faster with up to 80% less memory.
Open-source, with free Colab notebooks. Now with reasoning capabilities!
Hi everyone！
Sharing Unsloth, an amazing open-source project that makes finetuning large language models (LLMs) significantly faster and more memory-efficient. If you've ever wanted to customize an LLM but were intimidated by the resource requirements, Unsloth is definately worth a try.
What's cool about it:
🚀 2x Speed, Up to 80% Less Memory: Massive performance gains without sacrificing accuracy.
🦙 Wide Model Support: Works with Llama 3 (all versions!), Mistral, Gemma 2, Qwen 2.5, Phi-4, and more.
💻 Free Colab Notebooks: Get started immediately, for free, with their Colab notebooks. No expensive hardware needed.
💡 Reasoning Capabilities Added: Reproduce DeepSeek-R1 "aha" moment.
🔓 Open Source: Fully open-source and actively developed.
Unsloth is all about making LLM finetuning accessible to everyone, not just those with huge GPU budgets.
The combination of speed and memory efficiency is a game-changer, especially for those who are just venturing into this area and might not have access to high-end hardware.
Congrats on the launch! Best wishes and sending lots of wins :)
Hi there! Currently we're a team of just 2.5 people and I'm one of the co-founders. Thank you so much for hunting us! We weren't expecting this at all so it was a lovely surprise! :D
Impressive work! Speed and efficiency are huge bottlenecks in LLM finetuning, and Unsloth seems to tackle both head-on. Open-source, Colab-ready, and now with reasoning capabilities. This makes model customization far more accessible. Excited to see how the community leverages this!
Flowtica Scribe
Shram
The combination of speed and memory efficiency is a game-changer, especially for those who are just venturing into this area and might not have access to high-end hardware.
Congrats on the launch! Best wishes and sending lots of wins :)
Unsloth
@whatshivamdo Thank you so much for the support! :D
Chikka.ai
The ability to integrate DeepSeek-R1's reasoning is an awesome feature. Congratulations on the launch!
Unsloth
@jackie_luan Thanks so much Jackie! We have a guide on just reasoning training in our docs: https://docs.unsloth.ai/basics/reasoning-grpo-and-rl/tutorial-train-your-own-reasoning-model-with-grpo
Unsloth
Hi there! Currently we're a team of just 2.5 people and I'm one of the co-founders. Thank you so much for hunting us! We weren't expecting this at all so it was a lovely surprise! :D
If anyone needs any help, we have a Documentation here: https://docs.unsloth.ai/
or you can ask in our Discord server: https://discord.com/invite/unsloth
or Reddit: https://reddit.com/r/unsloth/
OTTO SEO by Search Atlas
Impressive work! Speed and efficiency are huge bottlenecks in LLM finetuning, and Unsloth seems to tackle both head-on. Open-source, Colab-ready, and now with reasoning capabilities. This makes model customization far more accessible. Excited to see how the community leverages this!
Unsloth Rules!