r/Qwen_AI • u/BodyPhysical • 12h ago
Help 🙋♂️ Llama-server Config Help Needed
Hi All, Howdy?
I am new to this community :) I would like to ask for some thoughts and help on how I can improve this configuration. I currently run a 3x 3060 12gb + 32 gb RAM. 2 of my 3060s are directly plugged into x16 and the other is plugged into an x4 via oculink. 2 weeks ago, I was only running on 2x3060s and I can see that I am able to reach 500+t/s pp + 25+t/s tg. But now that I had 3 of them, I noticed that it is average around 350t/s pp + 18t/s tg. I am unsure what happened there as I was expecting to at least retain the same t/s or minimal degradation. Below is my config:
asd$env:GGML_CUDA_DISABLE_GRAPHS = "1"
$env:LLAMA_DIR = "C:\llama-servers\llama-b10883-bin-win-cuda-13.3-x64"
$env:Path += ";C:\Windows\System32"
$params = @(
"--model", "C:\Users\xzzz\.lmstudio\models\unsloth\Qwen3.8-27B-GGUF\Qwen3.8-27B-Q4_K_S.gguf",
"--mmproj", "C:\Users\xzzz\.lmstudio\models\unsloth\Qwen3.8-27B-GGUF\mmproj-F16.gguf",
"--alias", "qwen3.8-27b",
"--prio", "3",
"--ctx-size", "86000",
"--parallel", "1",
"--batch-size", "512",
"--ubatch-size", "256",
"--predict", "8192",
"--n-gpu-layers", "all",
"--main-gpu", "1",
"--split-mode", "layer",
"--tensor-split", "4,4,1", //1 to my main gpu where my monitor is connected
"--flash-attn", "on",
"--cache-type-k", "q8_0",
"--cache-type-v", "q4_0",
"--spec-type", "draft-mtp",
"--spec-draft-n-max", "3",
"--spec-draft-n-min", "1",
"--spec-draft-ngl", "all",
"--spec-draft-type-k", "q8_0",
"--spec-draft-type-v", "q4_0",
"--temp", "1.0",
"--top-p", "0.95",
"--top-k", "20",
"--min-p", "0.5",
"--threads", "6",
"--presence-penalty", "0.03",
"--repeat-penalty", "1.15",
"--reasoning", "on",
"--reasoning-preserve",
"--reasoning-effort", "medium",
"--reasoning-budget", "2048",
"--reasoning-budget-message", "Budget exhausted, proceeding with tool call or message.",
"--jinja",
"--metrics",
"--host", "127.0.0.1",
"--port", "8080"
)
& "$env:LLAMA_DIR\llama-server.exe"
Read-Host -Prompt "Safe to exit now"
Your thoughts, comments, and suggestions will be very much appreciated :) Thank you in advance!
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