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TUESDAY, 22 SEPTEMBER 20261,767 channels on the wireFree edition

AI & Tools desk — breakout report

Run Local Models in Pi: llama.cpp, GGUF, and the /llama Command

Hugging Face's upload has reached 8.7K views — about 3.8× the ≈2.3K this channel typically draws at the same age.

Key facts

  • •3.8x Hugging Face's own 90-day median — this channel normally draws about 2.3K views at the same age.
  • •8.7K views so far, published 14 days ago.
  • •Category: Education · Language: en-US · Quality: HD · Captions: yes
  • •"Breakout" is measured against this exact channel's trailing 90-day median at matching video age — not a generic niche average.

Updated 2026-09-08 21:10 UTC

Video thumbnail: Run Local Models in Pi: llama.cpp, GGUF, and the /llama Command
Watch on YouTube ↗ · Hugging Face · 145K subscribers

View trajectory

Views this upload has gathered since it published, last measured about 168h in — from our own tracking.

0h 7d after publish 8.7K views

Published Sep 8, 2026 · 14 days ago. How breakouts are measured →

From the creator

Run local models in Pi with llama.cpp — fully private, offline, and with no per-token cost. In this tutorial I show you how to install llama.cpp, pick the right GGUF model and quantization for your hardware using Hugging Face's hardware compatibility feature, and download, load, and use the model directly from Pi with…

Category: Education · Language: en-US · Quality: HD · Captions: yes

Topics: Knowledge · Technology

Tags: agents, gguf, llama.cpp, llm, local ai models, local llm, pi coding agent, private ai coding, quickstart, qwen3

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