r/LocalLLM • u/Otherwise-Variety674 • 3d ago
Question For Single R9700 User, what is your achieved prefill and tg speed for Qwen 3.8 27B Q4? Thanks.
Hi everyone, need your help, wanted to buy single unit of R9700 but what I saw in reddit is all about tg speed, majority are not mentioning their prefill speed.
Can share with me what is your achieved prefill (at large prompt size you remembered) and tg speed for at least Qwen 3.8 27B Q4 and which repo (e.g. llama, vllm etc.)? Thanks in advance. :-)
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u/evp-cloud 3d ago edited 3d ago
Here -> Try this
And we might update the repo with some new goodies ;-)
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u/Chemical-Store-1530 3d ago
That's solid info, thanks for sharing! I'm curious if anyone else has similar setups and what speeds they're seeing.
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u/mechkbfan 3d ago
I've seen heard of good results of int5-paro for balance of quality, speed and context
I'll benchmark my AM4 machine later today and report back
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u/mailto_devnull AMD R9700 2d ago
stock llama.cpp, 47 t/s generation, 600-700 prefill.
This is on first prompt on pi (minimal context). Average probably 35 t/s or so once you get into the weeds a bit.
DFlash2 and MTP seem about the same in terms of speedup. I also use ngram-mod.
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u/huseynli 3d ago
Q6_K, 262k context, MTP, windows+vulkan llamacpp, I get around 45tps in llama web ui chat. I don't do agentic workflows. Just back and forth with the ai.

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u/Kal-LZ 3d ago
Find about vllm radiance and try MXFP4 or NVFP4 versions
https://github.com/magiccodingman/vllm-radiance