---
title: "Discussion on \"Understanding Quantization and Fine Tuning in Large Language Models\" | Hashnode"
description: "Discussion on \"Understanding Quantization and Fine Tuning in Large Language Models\". Large language models (LLMs) such as GPT, LLaMA, and Falcon have billions of parameters. While these models are powerful, their size makes them challenging to run and adapt for specific use cases. Three key concepts help solve this problem: quantizat..."
url: "https://hashnode.com/posts/understanding-quantization-and-fine-tuning-in-large-language-models/68b692e2d9a19c56c5e47a86"
---

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# [Understanding Quantization and Fine Tuning in Large Language Models](https://blogs.aakanksha.is-a.dev/understanding-quantization-and-fine-tuning-in-large-language-models?utm_source=hashnode&utm_medium=feed)

Large language models (LLMs) such as GPT, LLaMA, and Falcon have billions of parameters. While these models are powerful, their size makes them challenging to run and adapt for specific use cases. Three key concepts help solve this problem: quantizat...

Sep 2, 2025 · 4 min read · blogs.aakanksha.is-a.dev  
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-   [#llm](https://hashnode.com/tag/llm)
-   [#finetuning](https://hashnode.com/tag/finetuning)
-   [#quantization](https://hashnode.com/tag/quantization)
-   [#neural-networks](https://hashnode.com/tag/neural-networks)
-   [#backpropagation-neural-netowrk](https://hashnode.com/tag/backpropagation-neural-netowrk)

## Written by

[Aakanksha Bhende](https://hashnode.com/@aakankshabhende)

@aakankshabhende · India

  
[View profile](https://hashnode.com/@aakankshabhende)

Engineering @Red Hat • Kubernetes Release Team • LiFT Scholar'23 • GitHub Campus Expert • Open Source Enthusiast • Mentor

Software Engineer | Open Source Enthusiast | Mentor | Learner I love documenting stuff that I come across and find interesting. Hoping that you will love reading it and get to know something new :)

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