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Windows Subsystem for Linux Support #1944

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Celibioux opened this issue Apr 24, 2024 · 5 comments
Open

Windows Subsystem for Linux Support #1944

Celibioux opened this issue Apr 24, 2024 · 5 comments
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enhancement New feature or request

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@Celibioux
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Please describe the feature you want
Any plans to support Installation on WSL Please ?

Additional context
Add any other context or screenshots about the feature request here.


Please reply with a 👍 if you want this feature.

@Celibioux Celibioux added the enhancement New feature or request label Apr 24, 2024
@wsxiaoys
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wsxiaoys commented Apr 25, 2024

WSL should work seamlessly with Docker support. We have also provided a Windows binary for native Windows support. Would these options be sufficient for your use case?

@Celibioux
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I've Just discovered your software and i'm testing it out with your docker example but it's kinda slow with Docker and CPU only model that's why i was if WSL support would be better ?

@wsxiaoys
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Please refer https://tabby.tabbyml.com/docs/installation/windows/ for windows installation guide

@itstueben
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i install it on my windows machine with wsl2. I use the docker way and it looks very good. thx! The docker installation support my Nvidia card.

@juangcarmona
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juangcarmona commented Apr 3, 2025

For those interested on having tabby up and running on their windows, with WSL.

TL;DR;

Best way is to setup an Ubuntu Distro and follow Linux installation instructions.

I wrote an article with the details and some examples and tips --> A Fast and Private AI-Coding Assistant.

How-To-Guide in 3 simple steps:

  1. Install Ubuntu (22.04 or 24.04, both worked for me)
  2. Follow Linux installation instructions
  3. [OPTIONAL] You should also install katana so that you can index developer documentation. (I am about to create a PR with documentation improvements regarding exactly this),

In addition, I have to say that I tried many Tabby flavors, and the best way to fully use my GPU is this approach. (Indeed I couldn't make it properly work on Windows and had a lot of difficulties with the container one... With this approach I totally own my On Device AI, which is what I was looking for when I first found Tabby ML.


IMHO this issue could be closed.

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4 participants