Wondering about services to test on either a 16gb ram “AI Capable” arm64 board or on a laptop with modern rtx. Only looking for open source options, but curious to hear what people say. Cheers!

  • couch1potato@lemmy.dbzer0.com
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    20 days ago

    I spun up ollama and paperless-gpt to add ai ocr sidecar to paperless-ngx. It’s okay. It can read handwritten stuff okayish, which is better than tesseract (doesnt read hand writing at all), so I throw handwritten stuff to it, but the difference on typed text is marginal in my single day I spent testing 3 different models on a few different typed receipts.

    • kiol@lemmy.worldOP
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      19 days ago

      Which specific models did you try and how would you rank each is usability?

      • couch1potato@lemmy.dbzer0.com
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        19 days ago

        I tried minicpm-v, granite3.2-vision, and mistral.

        Granite didn’t work with paperless-gpt at all. Mistral worked sometimes but also just kept running sometimes and didn’t finish within a reasonable time (15 minutes for 2 pages). minicpm-v finishes every time, but i just looked at some of the results and seems as though it’s not even worth keeping it running either. I suppose maybe the first one I tried that gave me a good impression was a fluke.

        To be fair, I’m a noob at local ai, and I also don’t have a good gpu (gtx1650). So these failures could all be self induced. I like the idea of ai powered ocr so I’ll probably try again in the future…

        • kiol@lemmy.worldOP
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          18 days ago

          I find your experiments inspired. Thank you! I’m learning about this myself on an rtx and excited to discuss on my little podcast.james.network one of these days. Been using paperless minus the AI functionality so far. About to start testing different AI services on an arm64 device with 16gb ram that claims some level of AI support; will see how that goes. Let me know if there are any other specific services/models you’d recommend or are curious about.

          • couch1potato@lemmy.dbzer0.com
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            17 days ago

            Sure, and let me know how it goes for you. I’m on a dell r720xd, about to upgrade my ram from 128 to 296 gb… don’t want to spend the money for a new gpu right now.

            I’ll report back after I try again.

  • MangoPenguin@lemmy.blahaj.zone
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    17 days ago

    If Immich counts for its search system, then there’s that.

    Otherwise I’ve tried some various things and found them lacking in functionality, and would require leaving my PC on all the time to use.

  • ikidd@lemmy.world
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    26 days ago

    LMStudio is pretty much the standard. I think it’s opensource except for the UI. Even if you don’t end up using it long-term, it’s great for getting used to a lot of the models.

    Otherwise there’s OpenWebUI that I would imagine would work as a docker compose, as I think there’s ARM images for OWU and ollama

    • L_Acacia@lemmy.ml
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      23 days ago

      Well they are fully closed source except for the open source project they are a wrapper on. The open source part is llama.cpp

      • ikidd@lemmy.world
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        23 days ago

        Fair enough, but it’s damn handy and simple to use. And I don’t know how to do speculative decoding with ollama, which massively speeds up the models for me.

        • L_Acacia@lemmy.ml
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          23 days ago

          Their software is pretty nice. That’s what I’d recommand to someone who doesn’t want to tinker. It’s just a shame they don’t want to open source their software and we have to reinvent the wheel 10 times. If you are willing to tinker a bit koboldcpp + openewebui/librechat is a pretty nice combo.

          • ikidd@lemmy.world
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            22 days ago

            That koboldcpp is pretty interesting. Looks like I can load a draft model for spec decode as well as a pile of other things.

            What local models have you been using for coding? I’ve been disappointed with things like deepseek-coder and the qwen-coder, it’s not even a patch on Claude, but that damn cost for anthropic has been killing me.

            • L_Acacia@lemmy.ml
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              22 days ago

              As much as I’d like to praise the open-weight models. Nothing comes close to Claude sonnet in my experience too. I use local models when info are sensitive and claude when the problem requires being somewhat competent.

              What setup do you use for coding? I might have a tip for minimizing claude cost you depending on what your setup is.

              • ikidd@lemmy.world
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                22 days ago

                I’m using vscode/Roocode with Gosucoder shortprompt, with Requesty providing models. Generally I’ll use R1 to outline a project and Claude to implement. The shortprompt seems to reduce the context quite a bit and hence the cost. I’ve heard about Cursor but haven’t tried it yet.

                When you’re using local models, which ones are you using? The ones I mention don’t seem to give me much I can use, but I’m also probably asking more of them because I see what Claude can do. It might also be a problem with how Roocode uses them, though when I just jump into a chat and ask it to spit out code, I don’t get much better.

                • L_Acacia@lemmy.ml
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                  21 days ago

                  If you are willing to pay 10$ a month. You should get GithubCopilot, it provides near unlimited claude 3.5 usage. RooCode can hook into the github copilot api, and use it for its generations.

                  I use Qwen Coder and Mistral small locally too. It works ok, but its nowhere near GPT/Claude in terms of response quality.