python-bitsandbytes-cuda121 on AUR (Arch User Repository)

Last updated: December 25,2024

1. Install "python-bitsandbytes-cuda121" effortlessly via AUR with the help of a helper(YAY)

a. Install YAY (https://github.com/Jguer/yay)


    
        
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                sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si
            
                    
    
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b. Install python-bitsandbytes-cuda121 on Arch using YAY


    
        
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                yay -S
            
                        
                python-bitsandbytes-cuda121
            
                    
    
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* (Optional) Uninstall python-bitsandbytes-cuda121 on Arch using YAY


    
        
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                yay -Rns
            
                        
                python-bitsandbytes-cuda121
            
                    
    
    Copied

2. Manually Install "python-bitsandbytes-cuda121" via AUR

a. Ensure you have the base development tools and git installed with:


    
        
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                sudo pacman -S --needed
            
                        
                base-devel git
            
                    
    
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b. Clone python-bitsandbytes-cuda121's git locally


    
        
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                git clone https://aur.archlinux.org/python-bitsandbytes-cuda121.git 
            
                        
                ~/python-bitsandbytes-cuda121
            
                    
    
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c. Go to ~/python-bitsandbytes-cuda121 folder and install it


   
    
        
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                cd
            
                        
                ~/python-bitsandbytes-cuda121
            
                    
    
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            $
        

        
            
                makepkg -si
            
                    
    
    Copied

3. Information about the python-bitsandbytes-cuda121 package on Arch User Repository (AUR)

ID: 1335449
Name: python-bitsandbytes-cuda121
PackageBaseID: 194963
PackageBase: python-bitsandbytes
Version: 0.41.0-1
Description: Lightweight wrapper around CUDA custom functions, in particular 8-bit optimizers, matrix multiplication (LLM.int8()), and quantization functions.
URL: https://github.com/TimDettmers/bitsandbytes
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: Premik
Submitter: Premik
FirstSubmitted: 1687379173
LastModified: 1697525394
URLPath: /cgit/aur.git/snapshot/python-bitsandbytes-cuda121.tar.gz