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Is anyone else seeing significantly slower performance with Deepseek v4 Flash and Vulkan based as compared to comparable systems posted in various forums. I'm seeing roughly 50% of the PP and TG I'd expect with either UD IQ4 or UD Q8.
All other models are performing as expected so I don't believe it's a problem with my drivers/configurations.
If someone is running either model with consumer grade hardware like a dual-channel AM4 or AM5 board with say 128GB of RAM either 24 - 64GB of VRAM and getting ~10-20 t/s using Vulkan would you kindly post your configs? Thanks in advance.
Addendums:
Upgrading llama.cpp from b10241 to b10269 reduced TG by 25%
Replacing Vulkan with ROCM improved TG by 25%
dspark reduces by performance by 30% - 50% depending
llama-cli crashes depending how up, down and gate layers offloaded.
Specific to DS4.
"Optimal" Tensor Offload
UD8 XL performance improved by offloading MOE by 50% by tweaking the offloads. But overall numbers are much worse than expected.
Key Params
-ngl all
--jinja
-sm layer
--fit off
-fa on
-ub 512 -b 2048
--cache-type-k q8_0
--cache-type-v q8_0
--no-mmap
--no-warmup
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Is anyone else seeing significantly slower performance with Deepseek v4 Flash and Vulkan based as compared to comparable systems posted in various forums. I'm seeing roughly 50% of the PP and TG I'd expect with either UD IQ4 or UD Q8.
All other models are performing as expected so I don't believe it's a problem with my drivers/configurations.
Hardware:
AM4 5950x
128 GB DDR4 3200
dual R9700
Ubuntu 24.04 Server (Minimized/Headless)
If someone is running either model with consumer grade hardware like a dual-channel AM4 or AM5 board with say 128GB of RAM either 24 - 64GB of VRAM and getting ~10-20 t/s using Vulkan would you kindly post your configs? Thanks in advance.
Addendums:
"Optimal" Tensor Offload
UD8 XL performance improved by offloading MOE by 50% by tweaking the offloads. But overall numbers are much worse than expected.
Key Params
OT
TG Performance
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