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@binji
binji / LICENSE
Last active January 9, 2025 20:55
pokegb.cc w/o macros
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
@idleberg
idleberg / vscode-macos-context-menu.md
Last active June 26, 2025 08:23
“Open in Visual Studio Code” in macOS context-menu

Open in Visual Studio Code

  • Open Automator
  • Create a new document
  • Select Quick Action
  • Set “Service receives selected” to files or folders in any application
  • Add a Run Shell Script action
    • your default shell should already be selected, otherwise use /bin/zsh for macOS 10.15 (”Catalina”) or later
    • older versions of macOS use /bin/bash
  • if you're using something else, you probably know what to do 😉
@ttesmer
ttesmer / AD.hs
Last active October 29, 2024 15:35
Automatic Differentiation in 38 lines of Haskell using Operator Overloading and Dual Numbers. Inspired by conal.net/papers/beautiful-differentiation
{-# LANGUAGE TypeSynonymInstances #-}
data Dual d = D Float d deriving Show
type Float' = Float
diff :: (Dual Float' -> Dual Float') -> Float -> Float'
diff f x = y'
where D y y' = f (D x 1)
class VectorSpace v where
zero :: v
@rain-1
rain-1 / llama-home.md
Last active June 24, 2025 11:12
How to run Llama 13B with a 6GB graphics card

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

  • Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.