I have avoided AI (LLMS) because it didn’t seem nearly useful enough to warrant supporting these tech assholes. Is there anyway to use it locally on a normal device (16 Gb ram, 8 year old Geforce graphics, etc?). Can I just slow it down and get it to work locally?

  • Rhaedas@fedia.io
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    4 days ago

    Note that you would need to use Llama.cpp for the Mix of Expert type models like the Qwen mentioned, Ollama doesn’t have the flexibility of commands.

    • FlexibleToast@lemmy.world
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      4 days ago

      Ollama can run MoE. It just decides for you where to place things. Also the Qwen model mentioned is a sense model.

      • Rhaedas@fedia.io
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        4 days ago

        That wasn’t my experience, but maybe I just didn’t run across the right instructions, or it was the particular model. Llama lets you adjust parameters far more. Two sides of the same coin, really.

        • FlexibleToast@lemmy.world
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          4 days ago

          Ollama is just llamacpp under the hood. Ollama is just an opinionated version that automatically sets things up that will work for most people. Llamacpp definitely has more of those “nerd knobs” that you can configure for better performance. The flipside is that it is far more complicated. Granted using another LLM to help you makes it not so bad.

    • cecilkorik@piefed.ca
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      4 days ago

      Ollama lags behind the cutting edge of Llama.cpp but not for that long. It can do all that stuff. Maybe not well, and certainly much less configurable, but for casual use it’s fine and it’s much easier and more convenient until you start needing more control.

      • Rhaedas@fedia.io
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        4 days ago

        Not bashing Ollama, it’s great for getting started, and finding new models. I just had to switch over when I couldn’t set up the MoE model. The good thing was Llama can use Ollama blobs, so no loss of the older stuff.

        • cecilkorik@piefed.ca
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          4 days ago

          You might’ve been running an outdated version of Ollama or something, or maybe just a model that wasn’t set up in a way Ollama liked. It sometimes has some compatibility problems with some particular models or the way they’re configured/implemented, it’s sort of stupid how it happily pulls models from huggingface but without actually configuring them correctly in many cases, but generally it fully supports MoE and all that stuff. Generally you can trust that the ollama-hosted models will pull and run correctly, but huggingface (where the better and more interesting models live) can be a crapshoot, it’s just the way it pulls and configures them though, there’s not actually broken.