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Joined 3 years ago
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Cake day: June 20th, 2023

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  • It has been some time since my initial comment so at the time I was mainly using LM studio. Qwen 3.6 a3b is the MOE and it does work well on my card, but the dense model that is more intelligent/capable is the Qwen 3.6 27b which doesn’t fit on the card and does get offloaded, but offloading cuts the speed down to like 1/tps.

    I have since found a version of the 27b model that is “quantized,” for lack of a better term, differently and has to be run through TabbyAPI which gets back to 30ish tps. It can’t offload so it must fit fully on the card which keeps the speed high. Might be worth a look if you’re interested, the only downside is that with my 16gb card the context limit has to be kept pretty low ~40k if I remember correctly





  • It’s literally what I tell my friend who seems to be convinced they’ll suddenly be altruistic… Like dude, you’re saying the very same people that fight any form of taxation whatsoever will magically be ok with “giving away” their wealth to people who do no work? They’d rather start a new company to make more money that just films nation wide “bum fights” as they treat us as entertainment, fighting over a chance to eat, than they would give anything for a UBI.


  • I believe BMW and others are already operating humanoid robots that work in a factory setting doing tasks a typical machinist would do right now.

    Just imagine in 10+ years when the frontier agent models get optimized enough, or more effectively streamed into the robotics and the robotics are robust enough to handle “heavy lifting” tasks. I don’t think there is much some combination of AI and robotics can’t do. Other than suffering the soon to come mass poverty… They’ll never be able to do that.





  • I can also vouch for lmstudio. If you can get Hermes running on Linux I would suggest trying that as well. It connects to lm studio and you use Hermes to communicate with the model. Iook into it as there’s a lot to it, I’ve really been enjoying using it so far it even learns how I like to create tasks and I’ve stopped having to ask it to delegate certain tasks, it just knows to do it and to break down the tasks so my fairly context starved local model can handle it.

    As for a model, the Qwen 3.6 family of models do really well. I’d suggest the Qwen 3.6 35B a3b probably Q4 depending on your hardware. It’s large, but because it’s a mixture of experts model only 3b of experts are kept on vram at any one time so it stays fast. Qwen 3.6 27b is the smarter “dense” model, but trying to stay with Q4 for quality it becomes too large for 16GB vram and for me runs at like 2 tokens per second lol