11:36Long-form

Running a 22GB AI Model on a 6GB GPU, FAST (llama.cpp Guide)

Published July 28, 2026

Views 24.2K  |  Likes 545  |  Comments 44
Views#15,300,805Global
Views#2,302,731Unknown country

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Cloud CodesCloud Codes
44.6K subs•502 videos•Jun 2026

At a glance

Views

24,298

Likes

545

Comments

44

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

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Total (all-time): $17 – $49

Based on estimated $0.7–$2 CPM.

About

In this deep-dive tutorial, we explore how to run the Qwen3.6-35B-A3B Mixture of Experts (MoE) model on a standard 6GB VRAM GPU using llama.cpp by leveraging CPU offloading and memory bandwidth architecture. By properly tuning five critical flags—including --n-cpu-moe to park idle routed experts in system RAM and optim…

Published
July 28, 2026
Made for kids
No

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How Running a 22GB AI Model on a 6GB GPU, FAST (llama.cpp Guide) is doing

It has 24.2K views in total. It ranks #15,300,805 among tracked YouTube videos by views.

Key facts about Running a 22GB AI Model on a 6GB GPU, FAST (llama.cpp Guide)

Total views
24.2K
Total likes
545
Total comments
44
Published
July 28, 2026
Global rank by views
#15,300,805

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Running a 22GB AI Model on a 6GB GPU, FAST (llama.cpp Guide) has 24,298 views, 545 likes and 44 comments, ranking #15,300,805 among tracked YouTube videos by views.

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How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

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