• webghost0101@lemmy.fmhy.ml
    link
    fedilink
    English
    arrow-up
    12
    arrow-down
    2
    ·
    1 year ago

    Ever time i see a post like this i ask the same thing and i have yet to receive answer.

    Why should i care?

    There are so many open source language models, all with different strengths and weaknesses. There are tools to run them on any OS with all kinds of different hardware requirements.

    This has been the case since before chatgpt came out and has exponentially blown up since.

    Gpt4all is just a single recent model. But in recent weeks itnalways gets the headlight under “run chatgpt at home”

    What does it do to stand out? Why would i use this and not one of the vicuna or llama models?

    Hugging face has a leaderboard for open source large language models.

    https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard

    If you are interested in running this tech at home, familiarize yourself with multiple models because they all will behave differently depending on your hardware and your needs.

  • iminahurry@discuss.tchncs.de
    link
    fedilink
    English
    arrow-up
    4
    ·
    1 year ago

    Anybody know of a good guide for hosting this with GPU? Every guide seems to be talking about running it on CPU when one would expect the opposite to be true. I have not been able to use my RTX 3060 for this so far.

    • eu8@lemmy.world
      link
      fedilink
      English
      arrow-up
      1
      ·
      1 year ago

      Take my answer with a grain of salt, but I’m pretty sure if you have a GPU you can just run the same models and it should work more efficiently for you. The only difference for you is you can run some of the larger models.

  • Stefen Auris@pawb.social
    link
    fedilink
    English
    arrow-up
    1
    arrow-down
    4
    ·
    1 year ago

    I loved this however my only disappointment is that you can’t use it as a server others can connect to and use the chat interface