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  • There are many of these stream-experts-from-SDDD projects now. What's needed is a guide to all of them and maybe for someone to take the best features of each of them and merge them into one uber project.
  • I wonder when we will start seeing small commercial accelerators integrated with NVMes; could potentially use far more bandwidth than typical NVMe drive can push thru the four lanes.

    Given that you'd have probably a lot more capacity just to get to required bandwidth it could be used to switch very quickly between models (as all stored there would essentially be "loaded")

  • Why are the models being used so old (in llm years anyway). Why no Qwen 3.8 ?
  • I think GitHub repos should have a new tag listing the model used to write it along with the token cost.

    I don’t want to bother reading anything sub-Fable, and this one looks sub-Fable.

  • If anyone needs to see what 62 tokens/second looks like: https://token.qusai.pro/?speed=62

    Which seems sufficient for mortals who are not running gas town, but want a local model.

  • This could be a game changer for me. The best I've been able to do so far is ~8 tok/s with Qwen 35B A3B, 32GB RAM. But then again I just got an OpenCode Go plan yesterday and have yet to figure if I can even consume my quota on DeepSeek Flash as the need to plan things well is bottlenecking me. Might be a while before I try the local thing again.
  • Every few weeks, someone stumbles on what llama.cpp has had for years again, and reimplements it. I'm not sure why.
  • Qwen 3? (Jumanji) What year is it?

    What a waste of time.

    Strata already does this with Qwen3.8-Flash-Next: https://github.com/Niko1221/Strata

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