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@cedrickchee
cedrickchee / llama-7b-m1.md
Last active February 17, 2025 02:24
4 Steps in Running LLaMA-7B on a M1 MacBook with `llama.cpp`

4 Steps in Running LLaMA-7B on a M1 MacBook

The large language models usability

The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.

Running LLaMA

There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.

@aparrish
aparrish / understanding-word-vectors.ipynb
Last active March 7, 2025 11:49
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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@barbietunnie
barbietunnie / udemy-courses-download-using-cookies.md
Last active December 25, 2024 09:50
Downloading Udemy videos with youtube-dl

How to download your Udemy course videos using youtube-dl

$ youtube-dl --list-extractors | grep udemy

Steps

  1. Get link to the course to download. e.g. https://www.udemy.com/course-name/
  2. Login into udemy website, save the cookie from chrome using Chrome (Cookie.txt)[1] export extension. Save it to file udemy-cookies.txt
  3. Get the link of the video that you want to download. usually in format. Use the command provided below where you have to replace the {course_link} and {path_to_cookies_file} with respective paths.
$ youtube-dl {course_link} --cookies {path_to_cookies_file}