---
title: "#model-optimization articles | Hashnode"
description: "Explore 11 articles tagged #model-optimization on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/model-optimization"
---

Tag

# #model-optimization

11 posts · 0 followers

[Graham Andanje](https://hashnode.com/@fata-fanaka) · [Aug 6](https://hashnode.com/posts/cache-eviction/6a7461385c97f3cfab7f6c44)

### [Cache Eviction](https://fata-fanaka.hashnode.dev/cache-eviction?utm_source=hashnode&utm_medium=feed)

Cache eviction for optimizing KV Cache memory size

9 min read · [fata-fanaka.hashnode.dev](https://fata-fanaka.hashnode.dev/cache-eviction?utm_source=hashnode&utm_medium=feed)

[Graham Andanje](https://hashnode.com/@fata-fanaka) · [Jul 31](https://hashnode.com/posts/model-quantization/6a6c36e9150cf92ab3179d3e)

### [Model Quantization](https://fata-fanaka.hashnode.dev/model-quantization?utm_source=hashnode&utm_medium=feed)

quantization and numeric precision for model quantization to reduce compute and memory footprint

5 min read · [fata-fanaka.hashnode.dev](https://fata-fanaka.hashnode.dev/model-quantization?utm_source=hashnode&utm_medium=feed)

[Graham Andanje](https://hashnode.com/@fata-fanaka) · [Jul 30](https://hashnode.com/posts/neural-architecture-search/6a6b62b18284d27c0de23b9f)

### [Neural Architecture Search](https://fata-fanaka.hashnode.dev/neural-architecture-search?utm_source=hashnode&utm_medium=feed)

Model optimization through automated architecture search

3 min read · [fata-fanaka.hashnode.dev](https://fata-fanaka.hashnode.dev/neural-architecture-search?utm_source=hashnode&utm_medium=feed)

[Graham Andanje](https://hashnode.com/@fata-fanaka) · [Jul 27](https://hashnode.com/posts/knowledge-distillation/6a67b13009a2e6ca7c61744e)

### [Knowledge distillation](https://fata-fanaka.hashnode.dev/knowledge-distillation?utm_source=hashnode&utm_medium=feed)

Response based knowledge distillation as a way of optimizing ai models for inference

3 min read · [fata-fanaka.hashnode.dev](https://fata-fanaka.hashnode.dev/knowledge-distillation?utm_source=hashnode&utm_medium=feed)

[Graham Andanje](https://hashnode.com/@fata-fanaka) · [Jul 25](https://hashnode.com/posts/model-pruning/6a64b6d209929c554da39a3f)

### [Model Pruning](https://fata-fanaka.hashnode.dev/model-pruning?utm_source=hashnode&utm_medium=feed)

An introduction to model optimization through pruning

3 min read · [fata-fanaka.hashnode.dev](https://fata-fanaka.hashnode.dev/model-pruning?utm_source=hashnode&utm_medium=feed)

[Abstract Algorithms](https://hashnode.com/@abstractalgorithms) · [Mar 14](https://hashnode.com/posts/types-of-llm-quantization-by-timing-scope-and-mapping/69b54f31378cb9a6c1092fbf)

### [Types of LLM Quantization: By Timing, Scope, and Mapping](https://abstractalgorithms.hashnode.dev/types-of-llm-quantization-by-timing-scope-and-mapping?utm_source=hashnode&utm_medium=feed)

PTQ, QAT, INT8, INT4, and NF4 explained through timing, scope, and mapping choices.

17 min read · [abstractalgorithms.hashnode.dev](https://abstractalgorithms.hashnode.dev/types-of-llm-quantization-by-timing-scope-and-mapping?utm_source=hashnode&utm_medium=feed)

[Abstract Algorithms](https://hashnode.com/@abstractalgorithms) · [Mar 8](https://hashnode.com/posts/llm-model-quantization-why-when-and-how-to-deploy-smaller-faster-models/69add67686766ac3a6547f41)

### [LLM Model Quantization: Why, When, and How to Deploy Smaller, Faster Models](https://abstractalgorithms.hashnode.dev/llm-model-quantization-why-when-and-how-to-deploy-smaller-faster-models?utm_source=hashnode&utm_medium=feed)

Cut GPU memory and latency by converting FP16 weights to INT8 or INT4 — without retraining from scratch.

13 min read · [abstractalgorithms.hashnode.dev](https://abstractalgorithms.hashnode.dev/llm-model-quantization-why-when-and-how-to-deploy-smaller-faster-models?utm_source=hashnode&utm_medium=feed)

[Seci84](https://hashnode.com/@Seci84) · [Jul 23, 2025](https://hashnode.com/posts/about-me/6880b7cdec130ccabbf30d91)

### [About Me](https://seci84.hashnode.dev/about-me?utm_source=hashnode&utm_medium=feed)

I’m an AI engineer with extensive experience in model development, optimization, and deployment. My passion lies in building intuitive and efficient ecosystems and platforms for developers. I believe that the future of AI lies in the seamless integra...

3 min read · [seci84.hashnode.dev](https://seci84.hashnode.dev/about-me?utm_source=hashnode&utm_medium=feed)

[Omkar Kasture](https://hashnode.com/@omkar2483) · [Feb 5, 2025](https://hashnode.com/posts/deep-learning-with-keras-and-tesorflow/67a3794b9309f49b846589c5)

### [Deep Learning with Keras and TesorFlow](https://omkarkasture.hashnode.dev/deep-learning-with-keras-and-tesorflow?utm_source=hashnode&utm_medium=feed)

Part 3- Custom Training Loop, Hyperparameter Tunning, Model Optimization

3 min read · [omkarkasture.hashnode.dev](https://omkarkasture.hashnode.dev/deep-learning-with-keras-and-tesorflow?utm_source=hashnode&utm_medium=feed)

[Deepak Kumar Mohanty](https://hashnode.com/@KumarDeepak2k4) · [Oct 26, 2024](https://hashnode.com/posts/residuals-vs-cost-functions-key-differences-in-machine-learning-evaluation/671cdd4af8f639aa01d65d75)

### [Residuals vs. Cost Functions: Key Differences in Machine Learning Evaluation](https://kumarblog-1.hashnode.dev/residuals-vs-cost-functions-key-differences-in-machine-learning-evaluation?utm_source=hashnode&utm_medium=feed)

Dive into the essential differences between residuals and cost functions in machine learning. Understand how each concept impacts model evaluation and learn

5 min read · [kumarblog-1.hashnode.dev](https://kumarblog-1.hashnode.dev/residuals-vs-cost-functions-key-differences-in-machine-learning-evaluation?utm_source=hashnode&utm_medium=feed)
