Unsloth could Finetune LLMs (DeepSeek, Llama 3, Mistral, Gemma, Qwen, Phi etc.) 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.
