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Joined 20 days ago
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Cake day: August 2nd, 2026

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  • 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.


  • In my opinion, Spongebob (let’s only talk seasion 1-3 for that matter) is the magnum-opus for me in that regard. I watched it as a toddler because “haha, funny colors”, I watched it as a kid because “spongebob is so funny”, I watched it as a teenager because “how is Squidward suddenly becoming more relatable than Spongebob” and now as an adult because man that “childrens cartoon” somehow was fun and engaging no matter my age and reflecting on every possible way this situation could be related to from every point of view is very engaging. Every time I watched it during a new chapter of my life it was a completely different show. There is so much room for interpretation not in the story itself, because that one is shallow enough for children to understand, but in the sense of which characters you sypathize with and how the same situation makes you view and feel it in a different way each time you watch it with 5-10 years in between. You might be able to say that for a handful more shows, but this is the one that I grew up fond with.