I don’t consider myself very technical. I’ve never taken a computer science course and don’t know python. I’ve learned some things like Linux, the command line, docker and networking/pfSense because I value my privacy. My point is that anyone can do this, even if you aren’t technical.

I tried both LM Studio and Ollama. I prefer Ollama. Then you download models and use them to have your own private, personal GPT. I access it both on my local machine through the command line but I also installed Open WebUI in a docker container so I can access it on any device on my local network (I don’t expose services to the internet).

Having a private ai/gpt is pretty cool. You can download and test new models. And it is private. Yes, there are ethical concerns about how the model got the training. I’m not minimizing those concerns. But if you want your own AI/GPT assistant, give it a try. I set it up in a couple of hours, and as I said… I’m not even that technical.

  • EonNShadow@pawb.social
    link
    fedilink
    English
    arrow-up
    178
    ·
    3 months ago

    “learned some things like Linux, command line, docker, and networking/pfsense” “I don’t consider myself technical”

    Don’t sell yourself short, I work in IT and have colleagues on our helpdesk who would struggle endlessly with those concepts.

    I hereby dub you a tech person, like it or not, those skills can and do pay the bills.

    • damnthefilibuster@lemmy.world
      link
      fedilink
      English
      arrow-up
      62
      ·
      3 months ago

      Now that you’ve dubbed OP a tech person…

      Hey OP, can you help me fix my printer? It’s only printing “RED RUM RED RUM” for some reason.

    • chagall@lemmy.worldOP
      link
      fedilink
      English
      arrow-up
      41
      ·
      3 months ago

      This made me smile. Thank you. The grass is always greener and I sometimes daydream of working in IT instead of healthcare. Maybe someday.

        • GissaMittJobb@lemmy.ml
          link
          fedilink
          English
          arrow-up
          8
          ·
          3 months ago

          Healthcare is pretty rough, I’d be willing to bet that the grass actually is greener in this case.

          • Biezelbob@programming.dev
            link
            fedilink
            English
            arrow-up
            4
            ·
            edit-2
            3 months ago

            I am actually considering switching to healthcare (been a professional programmer)

            I’ve had a burnout: I wish it was due caring for people in need instead of a stupid deadline.

            Besides, you can always do IT as a hobby/for free. Harder with healthcare, except maybe volunteering

            • barsquid@lemmy.world
              link
              fedilink
              English
              arrow-up
              2
              arrow-down
              1
              ·
              3 months ago

              You’ll be saving lives, yeah, but between dealing with entitled assholes that won’t follow directions and then yell at you because they didn’t.

              It’s maybe easy to burn out in any career. Society has deprioritized individual fulfillment for most of us because it harms the nesting levels of billionaires’ yachts.

      • chagall@lemmy.worldOP
        link
        fedilink
        English
        arrow-up
        12
        ·
        3 months ago

        I’m sorry if I offended. I can’t code or understand existing code and have always felt that technical people code. I guess I should expand my definition. Again, sorry that my words felt like a punch in the gut… wasn’t my intention at all.

        • AlexanderESmith@social.alexanderesmith.com
          link
          fedilink
          arrow-up
          14
          ·
          3 months ago

          I’ve been in my field for 21 years. I make really good money, and have high confidence in my hard-earned skillset. I focus on Cloud Infrastructure and general Linux administration, but I code in a handful of languages to facilitate automation (because I’m lazy). I consider myself extremely well versed in technology in general.

          … Then I watch a YouTube video where some guy hand-solders a motherboard for his custom-designed keyboard, and decides it’s easier to - instead of adapt someone else’s - write his own driver from scratch, then open-sources everything from the PCB, to the CAD files he used to print the case, to the driver itself. Then he uploads the video, titled “Quick weekend project because I couldn’t find the keyboard layout I wanted on Amazon”, and forgets about the whole thing.

          In that moment, I feel like a complete, no-nothing idiot.

          A person with a doctorate in astrophysics isn’t not-a-doctor because they don’t know how to do brain surgery. Hell, a doctor who is a surgeon isn’t not-those-things because he isn’t - specifically - a brain surgeon.

          Don’t sell yourself short because other people do things you don’t (yet, or even ever). You’re a technical person.

        • IsoKiero@sopuli.xyz
          link
          fedilink
          English
          arrow-up
          11
          ·
          3 months ago

          It depends heavily on what you do and what you’re comparing yourself against. I’ve been making a living with IT for nearly 20 years and I still don’t consider myself to be an expert on anything, but it’s a really wide field and what I’ve learned that the things I consider ‘easy’ or ‘simple’ (mostly with linux servers) are surprisingly difficult for people who’d (for example) wipe the floor with me if we competed on planning and setting up an server infrastructure or build enterprise networks.

          And of course I’ve also met the other end of spectrum. People who claim to be ‘experts’ or ‘senior techs’ at something are so incompetent on their tasks or their field of knowledge is so ridiculously narrow that I wouldn’t trust them with anything above first tier helpdesk if even that. And the sad part is that those ‘experts’ often make way more money than me because they happened to score a job on some big IT company and their hours are billed accordingly.

          And then there’s the whole other can of worms on a forums like this where ‘technical people’ range from someone who can install a operating system by following instructions to the guys who write assembly code to some obscure old hardware just for the fun of it.

    • Scrubbles@poptalk.scrubbles.tech
      link
      fedilink
      English
      arrow-up
      8
      ·
      3 months ago

      I was just talking to a member of my devops team and I was talking about this exact thing and they said “I didn’t know you could attach a GPU to a container”. So, yup, just stay on top of this stuff at home and you’ll do fine

  • DavidGarcia@feddit.nl
    link
    fedilink
    English
    arrow-up
    50
    arrow-down
    2
    ·
    3 months ago

    people need to take a step back and realize we have the capability to trap quasi-omnipotent quasi-demons in our personal computers

    yeah they lie a lot and rarely do what you want them to, but that’s just what demons do

    And it’s all powered by some dark crystals created with light magic that slowly poison the planet

    that’s some arcane bullshit

    • Last@reddthat.com
      link
      fedilink
      English
      arrow-up
      3
      ·
      3 months ago

      How long can something like that really last, though? I wish we had a better idea of the timeline, before the quasi-demons start freelancing lol

  • coffee_with_cream@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    28
    ·
    3 months ago

    Uncensored models are so much better, too. chatGPT is like one of those plastic children’s toy hammers vs real models are titanium hammers

    • patrick@lemmy.jackson.dev
      link
      fedilink
      English
      arrow-up
      6
      ·
      3 months ago

      Together.ai has a number of uncensored models too. I’ve found that those are so cheap that it’s not worth trying to self just models unless you really need more privacy.

  • HumanPerson@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    15
    ·
    3 months ago

    Yeah, I like it too. My only issue is ollama’s lack of intel support. I have been looking at issue 1590 on their GitHub. For now I have a 1050ti in a cardboard box PC with other hardware being 10+ years old and a mixed set of RAM totalling 12G. It also has a 100Mbit nic, so I can’t take advantage of full internet speed when downloading models. The worst part is they can support intel, but haven’t merged the solution because of an issue with the windows intel drivers. Linux is fine but I can 't have it. I wasn’t planning to rant, but I already typed it so… enjoy?

    • chagall@lemmy.worldOP
      link
      fedilink
      English
      arrow-up
      12
      arrow-down
      1
      ·
      edit-2
      3 months ago

      Yeah, I have an NVDIA GPU and it is magic. The best part is when you are using Ollama, open a second terminal window and enter the command, watch -n 0.5 nvidia-smi and you can see your GPU usage go up and down in real-time as you ask the GPT questions. Pretty cool.

      Hopefully they get the ARC folks up and running soon.

  • Goodtoknow@lemmy.ca
    link
    fedilink
    English
    arrow-up
    10
    ·
    3 months ago

    Have you found much practical use for small models yet? I love the idea that even the 1.1B tinyllama model can run on my phone, but haven’t found much real world use for it yet. Llama3 8b feels better, but not much better for even emails as it’s a bit dumb

    • chagall@lemmy.worldOP
      link
      fedilink
      English
      arrow-up
      6
      ·
      3 months ago

      I use my phone all the time, but I just use a wireguard VPN to tunnel into my home container of Open WebUI. Then I can interact with my desktop machine using a NVIDIA gpu. I’m currently testing mistral-nemo. It’s pretty great but it gets a bit verbose sometimes.

      • kureta@lemmy.ml
        link
        fedilink
        English
        arrow-up
        10
        ·
        3 months ago

        I am also using open webui. Most LLMs are too verbose for me, so I created a model in open-webui with system prompt “Do not repeat the questions. Avoid giving lists as answers. Do not summarize the answer at the end. If asked a follow-up question, respond with only new information, do not repeat previously stated information.” and named it No Nonsense.

        • chagall@lemmy.worldOP
          link
          fedilink
          English
          arrow-up
          3
          ·
          3 months ago

          That’s really smart. I just found out about fabric yesterday and it is helping me with things like what you stated. Prompt engineering is a huge thing.

    • coffee_with_cream@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      1
      ·
      3 months ago

      Imo it’s worthwhile to just run the biggest model available and rent expensive GPU time. It still amounts to very little overall and you get much better results. Project dependent of course

  • dan@upvote.au
    link
    fedilink
    English
    arrow-up
    9
    ·
    3 months ago

    It’s a much smaller scale but I use a Coral TPU with CodeProject AI to detect when people or animals are in front of my house. Works well with Blue Iris (NVR software for security cameras). I like it. That’s all the self-hosted AI I’ve got for now.

  • BlackLaZoR@kbin.run
    link
    fedilink
    arrow-up
    8
    ·
    3 months ago

    I access it both on my local machine through the command line

    You really don’t have to - There’s GPT4ALL designed for normal users with very simple GUI

    Also, with minimal command line knowledge you can install InvokeAI - probably the best UX for image generating AI on the market. Works both on Linux and Windows

    • chagall@lemmy.worldOP
      link
      fedilink
      English
      arrow-up
      6
      ·
      3 months ago

      It’s so great that there is so much ongoing development of these types of tools out there. I’m currently using openweb ui as my GUI but I’ll give your suggestion a try next week. I haven’t figured out a use case for stable diffusion except for creating new content for the shitposting community on lemmy lol. But if you have any ideas, please let me know… I’d love to test it out if I have a good use case.

      • BlackLaZoR@kbin.run
        link
        fedilink
        arrow-up
        4
        arrow-down
        1
        ·
        3 months ago

        But if you have any ideas

        Both my avatar and channel cover are made with AI models - so this is a good start.

        IMO the biggest potential is indie game dev - AI image generation is amazing for static backgrounds, character design, and with certain loras it absolutely shreds pixelart - I even saw entire workflows for building pixelart animations (I think it was for ComfyUi tho).

        Also local image models are uncensored so… porn XD

      • Zos_Kia@lemmynsfw.com
        link
        fedilink
        English
        arrow-up
        2
        ·
        3 months ago

        If you like to write, I find that story boarding with stable diffusion is definitely an improvement. The quality of the images is what it is, but they can help you map out scenes and locations, and spot visual details and cues to include in your writing.

    • coffee_with_cream@sh.itjust.works
      link
      fedilink
      English
      arrow-up
      2
      arrow-down
      5
      ·
      edit-2
      3 months ago

      You probably want 48gb of vram or more to run the good stuff. I recommend renting GPU time instead of using your own hardware, via AWS or other vendors - runpod.io is pretty good.

      • NotMyOldRedditName@lemmy.world
        link
        fedilink
        English
        arrow-up
        6
        ·
        3 months ago

        Kinda defeats the purpose of doing it private and local.

        I wouldn’t trust any claims a 3rd party service makes with regards to being private.

      • Terrasque@infosec.pub
        link
        fedilink
        English
        arrow-up
        4
        ·
        3 months ago

        Llama3 8b can be run at 6gb vram, and it’s fairly competent. Gemma has a 9b I think, which would also be worth looking into.

      • 31337@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        3
        ·
        3 months ago

        IDK, looks like 48GB cloud pricing would be 0.35/hr => $255/month. Used 3090s go for $700. Two 3090s would give you 48GB of VRAM, and cost $1400 (I’m assuming you can do “model-parallel” will Llama; never tried running an LLM, but it should be possible and work well). So, the break-even point would be <6 months. Hmm, but if Severless works well, that could be pretty cheap. Would probably take a few minutes to process and load a ~48GB model every cold start though?

        • ffhein@lemmy.world
          link
          fedilink
          English
          arrow-up
          1
          ·
          3 months ago

          Assuming they already own a PC, if someone buys two 3090 for it they’ll probably also have to upgrade their PSU so that might be worth including in the budget. But it’s definitely a relatively low cost way to get more VRAM, there are people who run 3 or 4 RTX3090 too.

    • Swedneck@discuss.tchncs.de
      link
      fedilink
      English
      arrow-up
      5
      ·
      edit-2
      3 months ago

      you hear that said about AI because companies are desperately throwing more and more resources at it to get 0.3% better results, and people are collectively running an insane amount of prompts all the time.

      but on a personal level it’s not really any different from any other computations, people render videos all the time and no one complains about the resource usage from that, because companies aren’t trying to sell bloated video rendering services to gardening businesses.

    • Toribor@corndog.social
      link
      fedilink
      English
      arrow-up
      5
      ·
      edit-2
      3 months ago

      I’ve been testing Ollama in Docker/WSL with the idea that if I like it I’ll eventually move my GPU into my home server and get an upgrade for my gaming pc. When you run a model it has to load the whole thing into VRAM. I use the 8gb models so it takes 20-40 seconds to load the model and then each response is really fast after that and the GPU hit is pretty small. After I think five minutes by default it will unload the model to free up VRAM.

      Basically this means that you either need to wait a bit for the model to warm up or you need to extend that timeout so that it stays warm longer. That means that I cannot really use my GPU for anything else while the LLM is loaded.

      I haven’t tracked power usage, but besides the VRAM requirements it doesn’t seem too intensive on resources, but maybe I just haven’t done anything complex enough yet.

  • CallMeButtLove@lemmy.world
    link
    fedilink
    English
    arrow-up
    4
    ·
    3 months ago

    Is there a way to host an LLM in a docker container on my home server but still leverage the GPU on my main PC?

    • azl@lemmy.sdf.org
      link
      fedilink
      English
      arrow-up
      3
      ·
      3 months ago

      You would need to run the LLM on the system that has the GPU (your main PC). The front-end (typically a WebUI) could run in a docker container and make API calls to your LLM system. Unfortunately that requires the model to always be loaded in the VRAM on your main PC, severely reducing what you can do with that computer, GPU-wise.

  • chip@feddit.rocks
    link
    fedilink
    English
    arrow-up
    3
    ·
    3 months ago

    I also recently got into selfhosting LLM. Having an AMD card meant I had to scourge for solutions since everything expects to have CUDA suppport which means having Nvidia cards. Koboldcpp has a fork with ROCM support which works on my machine, so I’m content with that for now.

    • Appoxo@lemmy.dbzer0.com
      link
      fedilink
      English
      arrow-up
      3
      ·
      3 months ago

      Wasnt there a solution by AMD or someone close to them implementing a translation of CUDA for AMD hardware?

      • Croquette@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        5
        ·
        3 months ago

        AMD asked them to shut it down. So the guy is going to go back to the pre-AMD release and work independently from there.

        • CallMeButtLove@lemmy.world
          link
          fedilink
          English
          arrow-up
          2
          ·
          3 months ago

          I really hate when companies do that kind of crap. I just imagine a little toddler stomping around going “No! No! Nooo!”

          • Croquette@sh.itjust.works
            link
            fedilink
            English
            arrow-up
            1
            ·
            3 months ago

            NVIDIA didn’t ask to shut it down, but AMD lawyer probably weren’t that hot to what the project had become and AMD asked the creator to shut down the project l, which he did.

            But yeah, lots of work wasted caused by pencil pushers and bean counters.

    • Toribor@corndog.social
      link
      fedilink
      English
      arrow-up
      2
      ·
      3 months ago

      Do you have any links or guides that you found helpful? A friend wanted to try this out but basically gave up when he realized he’d need an Nvidia GPU.

    • Appoxo@lemmy.dbzer0.com
      link
      fedilink
      English
      arrow-up
      3
      ·
      3 months ago

      Very technical vs not can be very subjective.
      It can be a 50 year old sysadmin vs Adam I pulled from the street or a graybeard linux admin vs a beginner sysadmin only in it for thr career instead of the passion (those can be very non-technical but good problem solver folks)

      I know my comparison is flawed

  • chasingtheflow@lemmy.world
    link
    fedilink
    English
    arrow-up
    2
    ·
    3 months ago

    Very cool! You can use something like Tailscale to access your local services remotely without exposing them to the internet.