Unsloth
Finetune LLMs 2x faster, 80% less memory
What it does
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!
Does the same job
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- OSOpen-source fine-tuning in a Colab notebook2024 · colab.research.google.com · ▲5
Posted before, but wanted to share if you want an open source alternative to OpenAI fine-tuning, give Unsloth a try! Phi 3.5 was just released, and is distilled from GPT4. Unsloth makes finetuning 2x faster, uses 70% less VRAM + has no accuracy degradations. We rewrite all backprop steps and reduce FLOPs and write everything in Triton (JIT low level CUDA). If you want to own the weights after fine-tuning, give Unsloth a spin! I have free Colabs and Kaggle notebooks as well at https://github.com/unslothai/unsloth
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