---
title: "Discussion on \"How I Fine-Tuned Llama 2 Using QLoRA on Free GPU Resources\" | Hashnode"
description: "Discussion on \"How I Fine-Tuned Llama 2 Using QLoRA on Free GPU Resources\". Training and fine-tuning Large Language Models (LLMs) is often considered expensive and hardware-intensive. Most tutorials online assume access to powerful GPUs with large amounts of VRAM, which can b"
url: "https://hashnode.com/posts/how-i-fine-tuned-llama-2-using-qlora-on-free-gpu-resources/6a10142d1f237623eac82467"
---

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# [How I Fine-Tuned Llama 2 Using QLoRA on Free GPU Resources](https://harshagale.hashnode.dev/how-i-fine-tuned-llama-2-using-qlora-on-free-gpu-resources?utm_source=hashnode&utm_medium=feed)

Training and fine-tuning Large Language Models (LLMs) is often considered expensive and hardware-intensive. Most tutorials online assume access to powerful GPUs with large amounts of VRAM, which can b

May 22 · 5 min read · harshagale.hashnode.dev  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#llm](https://hashnode.com/tag/llm)
-   [#qlora](https://hashnode.com/tag/qlora)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#python](https://hashnode.com/tag/python)
-   [#huggingface](https://hashnode.com/tag/huggingface)
-   [#finetuning](https://hashnode.com/tag/finetuning)

## Written by

[Harsh Agale](https://hashnode.com/@harshagale)

@harshagale · Pune, India

  
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