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Shatur@discuss.tchncs.de to LocalLLaMA@sh.itjust.worksEnglish · 10 hours ago

Qwalmost there!

discuss.tchncs.de

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Qwalmost there!

discuss.tchncs.de

Shatur@discuss.tchncs.de to LocalLLaMA@sh.itjust.worksEnglish · 10 hours ago
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  • BeefAndPoultry@lemmus.org
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    2 hours ago

    it’s so close, I’m gonna Qwum!

  • Alex@lemmy.ml
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    8 hours ago

    I’m waiting for the local coding agent distillations that us mortals can run on our systems.

    • Shatur@discuss.tchncs.deOP
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      7 hours ago

      27B and Qwen flash next can run with somewhat realistic specs. I run 27B on my 7900 XTX.

      • melfie@lemmy.zip
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        6 hours ago

        I was lucky enough to get one a few months ago for under $1k before the price doubled. It was the last sanely priced 24GB card, but that didn’t last long. 😭

        • Shatur@discuss.tchncs.deOP
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          5 hours ago

          Same thing, I bought mine last month!

      • Alex@lemmy.ml
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        7 hours ago

        24gb, luxury 😉 I have to make do with 8gb if vram but the previous 3.5-9b-artimus worked ok. I wonder how much of the 27B is used for the multi model support?

        • Shatur@discuss.tchncs.deOP
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          6 hours ago

          I offload mmproj to the CPU to keep as much model weights in VRAM as possible 🙂

  • hendrik@palaver.p3x.de
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    9 hours ago

    Seems the hype train is on its way. But I must say I’d rather read about results than have advertisement forwarded to me.

  • jdr@lemmy.ml
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    9 hours ago

    Weights or riot

    • slazer2au@lemmy.world
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      8 hours ago

      Both!

LocalLLaMA@sh.itjust.works

localllama@sh.itjust.works

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they’re still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

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