---
title: "Discussion on \"Build and Train a GLM-5.3-Flash Model From Scratch with Python\" | Hashnode"
description: "Discussion on \"Build and Train a GLM-5.3-Flash Model From Scratch with Python\". GLM-5.3-Flash combines linear and sparse attention, a mixture-of-experts design, and manifold constrained hyperconnections. A scaled-down version with 25 million parameters can be built in Python and"
url: "https://hashnode.com/posts/build-and-train-a-glm-53-flash-model-from-scratch-with-python/6af88630044134836d5c4f7d"
---

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# [Build and Train a GLM-5.3-Flash Model From Scratch with Python](https://freecodecamp.org/news/build-and-train-a-glm-53-flash-model-from-scratch-with-python?utm_source=hashnode&utm_medium=feed)

GLM-5.3-Flash combines linear and sparse attention, a mixture-of-experts design, and manifold constrained hyperconnections. A scaled-down version with 25 million parameters can be built in Python and

2h ago · 2 min read · freecodecamp.org  
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## Written by

[Beau Carnes](https://hashnode.com/@beaucarnes)

@beaucarnes · Michigan

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

I'm a teacher and developer with freeCodeCamp.org. I run the freeCodeCamp.org YouTube channel.

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