# Fine tuning using llm Qlora

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**Category:** Beginners\
**Created:** [March 20, 2024, 8:28pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tuning-using-llm-qlora%2F78334 "2024-03-20T20:28:03Z")\
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**Author:** ![pravingaikwad549](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/pravingaikwad549/32/24989_2.png) [@pravingaikwad549](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fpravingaikwad549)%5C
**Post date:** [March 20, 2024, 8:28pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ffine-tuning-using-llm-qlora%2F78334%2F1 "2024-03-20T20:28:04Z")

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I am trying to fine tune T5 for question and answering task using Qlora. But I think I am doing something incorrect as the time and space taken by the qlora model is same while fine tuning the full model.  
I have imported the model using the bnbconfig and added lora to it using loraconfig, (the model.print\_trainable\_parameter gives 0.08 % trainable parameters).  
How do I check if only the lora parameters are getting updated?