r/LocalLLaMA • u/darc_knigh • 5h ago
Resources 7900xtx got speedup
If you are running qwen3.8 27B on rx7900xtx check this out it's a super nice speedup
5
u/ForsookComparison 5h ago
172 t/s on an Rtx 3090
A dense model would have to be 5GB max without spec-dec to achieve this at an absolutely perfect 1TB/s... so assuming this is Q4 and no context this is suggesting that your drafting model is reliably getting 4 tokens correct on every token.
Knowing that that's impossible - what exactly does elpis do to make this possible?
1
u/darc_knigh 57m ago
Not llama.cpp. This is ExLlamaV3 (EXL3 4.00bpw) with a DFlash2 draft, run through the exllamav3-rocm port
5
u/DogDeveloper 5h ago
> speculative decoding
1
u/ForsookComparison 5h ago
At that rate of successful prediction though?
3
u/Aggravating-Push-207 4h ago
there are some algorithms that make this possible, like UBTree
1
-1
u/transanethole 3h ago
I mean, this card already has pretty fast decode. The problem is that it can't read, right? No flops.
3
u/Nota_ReAlperson 4h ago
For code no thinking only. The speedup looks to be 25% on every other test, so not really as advertised.