also at beehaw

  • 1 Post
  • 20 Comments
Joined 1 year ago
cake
Cake day: June 15th, 2023

help-circle









  • So I’m no expert at running local LLMs, but I did download one (the 7B vicuña model recommended by the LocalLLM subreddit wiki) and try my hand at training a LoRA on some structured data I have.

    Based on my experience, the VRAM available to you is going to be way more of a bottleneck than PCIe speeds.

    I could barely hold a 7B model in 10 GB of VRAM on my 3080, so 8 GB might be impossible or very tight. IMO to get good results with local models you really have large quantities of VRAM and be using 13B or above models.

    Additionally, when you’re training a LoRA the model + training data gets loaded into VRAM. My training dataset wasn’t very large, and even so, I kept running into VRAM constraints with training.

    In the end I concluded that in the current state, running a local LLM is an interesting exercise but only great on enthusiast level hardware with loads of VRAM (4090s etc).





  • I’d think about it at a high level and then get more granular. What are your favorite riced screenshots? What parts of them particularly appeal to you? On the other hand, are there things about your setup that bother you? Then, take what you like and don’t like and let that guide you in customization.

    I am pretty opinionated, so I care about changing little things. Examples of little things I tweaked when installing KDE recently:

    • made the digital clock display on one line instead of two
    • removed blur from lockscreen
    • hid user info + switch user options from lockscreen

    For me the rest of the visual adjustments came from picking color schemes, fonts, icons, and wallpapers I like.


  • That’s helpful; this sounds like a docker issue or qBit issue then. The default qBit location for torrents is /downloads, but you’d need to make sure to point it towards the container volume mapping you’re setting up in docker.

    my relevant qBittorrent compose volume mapping is as follows:

        volumes:
          - /volume1/shared/torrents:/data/torrents
    

    Personally, I don’t separate my torrent downloads by type; I use incoming & completed folders. Here’s how I set up my qBittorrent config:

    Original Value New Value
    Session\DefaultSavePath=/downloads/ Session\DefaultSavePath=/data/torrents/1_completed/
    Session\TempPath=/downloads/incomplete/ Session\TempPath=/data/torrents/2_incoming/
    Downloads\SavePath=/downloads/ Downloads\SavePath=/data/torrents/1_completed/
    Downloads\TempPath=/downloads/incomplete/ Downloads\TempPath=/data/torrents/2_incoming/