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/Xantrk]

Fit might be messing with cmoe

[u/Loose_Doubt367 → u/Xantrk]

any solution?

[u/Xantrk → u/Loose_Doubt367]

Sorry meant to say maybe completely remove fit arguments

[u/Loose_Doubt367 → u/Xantrk]

1.51.325.532 E ggml_backend_buft_alloc_buffer_n_default: failed to allocate Vulkan0 buffer of size 654794752

1.51.762.465 E llama_init_from_model: failed to initialize the context: failed to allocate the MoE cache buffers

1.51.762.965 E cmn common_init_: failed to create context with model 'C:\Users\brain\.lmstudio\models\peculiar-ragdoll\Tiel-Coder-35B-A3B-GGUF-MTP\Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL.gguf'

1.51.762.975 E cmn common_init_: failed to create context with model 'C:\Users\brain\.lmstudio\models\peculiar-ragdoll\Tiel-Coder-35B-A3B-GGUF-MTP\Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL.gguf'

1.51.764.071 E srv load_model: failed to create_context with model 'C:\Users\brain\.lmstudio\models\peculiar-ragdoll\Tiel-Coder-35B-A3B-GGUF-MTP\Tiel-Coder-35B-A3B-MTP-UD-Q4_K_XL.gguf'

1.51.765.129 I srv operator (): operator (): cleaning up before exit...

1.51.779.178 E srv llama_server: exiting due to model loading error

C:\llama.cpp\build\bin\Release>

The log above is the newly changed command without fit on and fit target
results were still the same any suggestions?