• 1 Post
  • 21 Comments
Joined 1 month ago
cake
Cake day: August 2nd, 2026

help-circle


  • Jup, in an ideal world there would be one or more computer rooms with desktop PCs running whatever fucking immutable Linux distro.

    However I’m also kind of torn about books since I DO think they are important, but in practice they were always just super outdated, super politically one-sided, unreasonably heavy and so on. Some kind of middle-ground would be great with a mix of some classes using books and paper and some classes using a cheap laptop with Linux on it. But whatever’s the case, tablets are absolute fucking bullshit.

    Edit: hell or just no laptops but WAY more than one computer room so you could literally have some classes exclusively in “regular” rooms and some in computer rooms, idk. JUST NOT FUCKING TABLETS.


  • yxc999@lemmy.mltoLinux@lemmy.mlBan Windows at schools
    link
    fedilink
    arrow-up
    15
    arrow-down
    1
    ·
    7 days ago

    I’d start by banning tablets, what the fuck is the point of “learning” IT stuff on a glorified 10 inch phone? Get them fucking laptops, even better with Linux, but I feel like even going BACK to Windows PCs would be an improvement at this point, sad.













  • I feel like you definitely can get away with as much as even 5, but if you actually look at the CLI, it will tell you how many draft tokens actually got accepted. In some situations like writing simple text, over 90% of my two draft tokens get accepted so setting it to five would have made it faster. However if you run a task which requires heavy reasoning, even two draft tokens start approaching close to only 60%. Considering Qwen3.8-27B overthinks more than an anxious teenage girl, you should generally with two. If you take my example with the quant dropped to UD-Q5_K_XL with 262K tokens and reasoning low for a task that isn’t actually complex, just long, then go right ahead and let it run with 5.

    Edit: excuse the horrendous grammar, I was distracted


  • I’m using this on Linux, so the first two lines won’t apply to you. Besides that, you are completely right, llama.cpp with the SYCL backend and MTP is the fastest way to run LLMs on Intel Arc GPUs, it’s just braindead people and bots on Reddit repeating the same line while they run a NVIDIA GPU and Ollama.

    source /opt/intel/oneapi/setvars.sh
    /opt/llama.cpp-sycl/bin/llama-server \
      --model /path/to/your/model/Qwen3.8-27B-UD-Q6_K_XL.gguf \
      --device SYCL0 \
      --n-gpu-layers 999 \
      --load-mode none \
      --flash-attn on \
      --jinja \
      --reasoning-preserve \
      --ctx-size 100000 \
      --cache-type-k q8_0 \
      --cache-type-v q8_0 \
      --temp 1.0 \
      --top-p 0.95 \
      --top-k 20 \
      --min-p 0.00 \
      --presence-penalty 0.0 \
      --repeat-penalty 1.0 \
      --spec-type draft-mtp \
      --spec-draft-n-max 2 \
      --port 9931
    


  • I think there are two sides to this.

    1. You are right, I’d rather just get them on Windows 11 Enterprise IoT LTSC than goddamn ChromeOS.

    2. ChromeOS will likely lower the bar for switching to a Linux distro so you might consider it a stepping stone. A stepping stone with nails and spiders coming out of it, but still a stepping stone nonetheless.