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by unleaded 30 days ago
Qwen3.6-35B-A3B-UD-Q4_K_M runs at about 11 tokens/second on my poor old 1060. Absolutely nuts how far we've come
2 comments

I tried running any model on my 1070 and it instantly crashes my old tower, probably time to get off windows and run linux on it.
Understated how much of a boon for Linux that AI development has been.

There isn’t any benefit to running a windows machine.

Au contraire, I run models on WSL and my desktop reliably wakes up from sleep. Best of both worlds.
Watch out for VRAM/RAM. When programs on WSL tired to take more than there was available it was crashing my WSL hard and even corrupting files on the virtual drive attached to WSL in a very strange manner that made recent files just disappear. I had at leat two projects that had to be rebuilt from past conversation with AI because all their files were gone after few crashes.

I asked codex to write WSL config to prevent crashes. It put some limits on WSL and the situation stabilized, but I lost all trust for WSL anyways.

What are the config settings you needed?

TIA

That's my wslconfig file located in my %USERPROFILE% dir:

    [wsl2]
    memory=40GB
    processors=8
    swap=8GB
    swapFile=C:\\wsl-swap.vhdx
    localhostForwarding=true
    guiApplications=false
    vmIdleTimeout=30000
    maxCrashDumpCount=3
    
    [experimental]
    autoMemoryReclaim=gradual

I have 64GB of RAM and 24GB of VRAM.
Genuine question: what are the good parts of Windows that keep you there? I've been such a happy gamer/coder/media editor on Linux for so long that I really don't understand how Microsoft isn't dead yet.
My desktop is a game console and the games I play work on windows. And my computer reliably wakes from sleep.
My Linux laptop and desktop both handle gaming and waking from sleep just fine. I'd be more surprised if they didn't. You might like CachyOS or Bazzite if you try it.
Sounds like a hardware issue, though NVIDIA driver issues can't be ruled out, they're much rarer these days
Mind sharing your llama.cpp settings for that?

  .\llama-server.exe -m ..\Qwen3.6-35B-A3B-UD-Q4_K_M.gguf -ngl 999 --n-cpu-moe 41 -c 262144 --port 8081 --flash-attn on --cache-type-k turbo4 --cache-type-v turbo3 --no-mmap --mlock --host 0.0.0.0 -t 8 -tb 8 -np 1
Using this llama.cpp fork https://github.com/TheTom/llama-cpp-turboquant and mostly copying from this video https://www.youtube.com/watch?v=8F_5pdcD3HY

Haven't had much time to test it other than asking a few questions & changing some HTML in cline so it might be thick as a brick for all I know, but still worth trying

I just tested it with some risc-v code and it wrote down a "mov" instruction several times.. yeah something needs tuning maybe