• GoatSynagogue@lemmy.world
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      18 days ago

      Most developers use their work provided machines, which aren’t gaming machines with giant GPUs because again, GPUs don’t help development at all.

    • NotMyOldRedditName@lemmy.world
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      18 days ago

      Also developers often want more ram, and if youre on the mac side, the M series ram works as video ram for loading and running models, so there’s a good chance you can already run something better than is typical of others

      • partofthevoice@lemmy.zip
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        18 days ago

        I’m on a MacBook with M2, 32GB ram. Literally just tried:

        • gemma4:12b - very slow, unworkable
        • qwen3:8b - very slow, unworkable
        • qwen2.5-coder:7b - slow but workable. Doesn’t use tools properly in OpenCode.

        Well, I guess I’ll try again next year.

        For context: my home pc is running gemma4:31b just fine. It’s also a beefy ass desktop, though.

        • NotMyOldRedditName@lemmy.world
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          18 days ago

          You might be doing something wrong, models that size shouldn’t be that slow if properly configured on a 32gb m2

          You need a metal optimized client and model, not the same models you’d run on your desktop machine.

        • fluxx@mander.xyz
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          18 days ago

          Are you running an mlx model? If not, try that. My m4 macbook runs qwen3.6-35b-a3b lightning fast. Has its issues, but fast nonetheless.

            • fluxx@mander.xyz
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              17 days ago

              I have a model with 64GB of ram. I’ve limited context to 16k, in an effort to make it more stable, but tbh - it is rather unreliable no matter what I do. With my setup - mlx_lm and webui, it frequently collapses or loops, no matter the settings. I have done a lot of debugging and have concluded it is probably inherent model behavior.

              • NotMyOldRedditName@lemmy.world
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                17 days ago

                That’s lame about the looping, but ya I don’t think that’s a mlx issue, I’ve had it on my desktop with my nvidia card as well. I also tried fussing with configurations, and I was never sure if it was the models or my settings. I was mainly toying around with LLama based models.