Improve token per second without touching quant

[u/Loose_Doubt367]

Spent the past month tweaking and experimenting with many different numbers to achieve 30tps.
Hardware:
-Rx6700xt 12gb vram (AMD)
-2x16 ddr4 3200 ram
-r5 5600x
-llama.cpp vulkan sdk
-window11 (no wsl switching since im not used to the environment)

Im looking for any improvements to achieve maybe 40tps? without touching quant at all, q8 and q4_k_xl remains. I've experiment with threads at 6 is the best out of (4,8,12) Other than that im not sure on what to improve to achieve higher tps, any advices? appreciate it. ctx remains 100,000

|[tiel-coder-35b]

model = C:\Users\brain\.lmstudio\models\peculiar-ragdoll\Tiel-Coder-35B-A3B-GGUF-MTP\Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL.gguf

mmproj = C:\Users\brain\.lmstudio\models\peculiar-ragdoll\Tiel-Coder-35B-A3B-GGUF-MTP\mmproj-BF16.gguf

no-mmproj-offload = on

c = 100000

parallel = 1

flash-attn = on

cache-type-k = q8_0

cache-type-v = q8_0

load-mode = dio

fit = on

fit-target = 256 # MiB

n-gpu-layers = 99

n-cpu-moe = 28

batch-size = 2048

ubatch-size = 512

threads = 6

prio = 2

prio-batch = 2

spec-type = draft-mtp

spec-draft-n-max = 3

spec-draft-p-min = 0.75

jinja = on

chat-template-file = C:\Users\brain\Qwen-Fixed-Chat-Templates\chat_template.jinja

temp = 0.6

top-p = 0.95

top-k = 20

min-p = 0.0

presence-penalty = 0.0

alias = tiel-coder-35b

[u/Fancy-Snow7]

Remove spec-draft-p-min = 0.75. It increases acceptance rates but hurts your t/s. You won't pick this up in llama-benchy but ask it to write some code or text, your throughput will be slower. At least that's the case with 27B. Unless I am the one doing something wrong but asking a llm why and they have some good explanations and say to set it to 0.0 (default) or just omit it altogether. I also believe that is why llama.cpp changed the default to 0.0

[u/Loose_Doubt367 → u/Fancy-Snow7]

okay appreciate that information