---
author: "Umesh Malik"
canonical: "https://umesh-malik.com/blog/tag/open-weights"
description: "Explore articles tagged with Open Weights by Umesh Malik — AI Engineer, LLM & GenAI Developer. Learn Open Weights best practices, practical tips, and in-depth guides."
title: "Umesh Malik's Blog - Open Weights Articles | Open Weights Tutorials"
tokens: 407
generator: "scripts/generate-page-markdown.mjs"
---

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# Open Weights

3 articles

 [![Muse Glimmer 30B memory ladder showing 55GB at full precision shrinking to under 20GB with 4-bit K-Quant compression](https://umesh-malik.com/blog/run-muse-glimmer-30b-locally-cover.png)

AI Coding Agents & DX • Aug 11, 2026

### Run Muse Glimmer 30B locally: 55GB shrinks to under 20GB

How to run Muse Glimmer 30B locally: the K-Quant setup that fits a single 24GB GPU, the drafter model that triples decode speed, and where it breaks.

8 min read

Read more →](https://umesh-malik.com/blog/run-muse-glimmer-30b-locally)

 [![Layer-by-layer LLM inference streaming one transformer layer at a time from disk onto a 4GB GPU](https://umesh-malik.com/blog/run-70b-llm-on-4gb-gpu-airllm-cover.png)

LLM Engineering • Aug 4, 2026

### Run 70B LLM on 4GB GPU: AirLLM's Real Tradeoff

Run 70B LLM on 4GB GPU hardware with AirLLM's layer-by-layer inference. The VRAM math is real — you just pay for it in disk bandwidth. The honest tradeoff.

11 min read

Read more →](https://umesh-malik.com/blog/run-70b-llm-on-4gb-gpu-airllm)

 [![DeepSeek V4 Flash 0731 agent benchmark results compared against the preview build and V4-Pro Preview](https://umesh-malik.com/blog/deepseek-v4-flash-0731-benchmarks-cover.png)

LLM Engineering • Aug 1, 2026

### DeepSeek V4 Flash 0731 Benchmarks: 13B Active Beats 1.6T

DeepSeek V4 Flash 0731 benchmarks: same 284B/13B architecture as the preview, re-post-trained only — and it beats the 1.6T V4-Pro Preview on nine agent tests.

9 min read

Read more →](https://umesh-malik.com/blog/deepseek-v4-flash-0731-benchmarks)