This draft model is OP on 16 GB cards for Qwen 3.8 27b
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
https://huggingface.co/HermiHg/Qwen3.8-27B-DFlash2-Q2_K_S-MIX-GGUF I used this draft model with https://huggingface.co/ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF with the IQ3_XXS with 128k context and I saw it averaging about 60 tokens per second tg speed on the 16 GB RX 9070 XT.
This is much better than using the built in MTP since the built in MTP seems to multiply the required VRAM. For single thread mode, I'd say this is one of the best choices on a 16 GB GPU. Though speculative draft models seem to make it more sensitive to GTT overflow, so if you use more VRAM than you have, then turning off speculative decoding is actually faster, at least on my DDR5 PCIE 5 system.
I use kv cache quantization of k 8_0 and v 4_0 for this setup.
This person has done more extensive testing on a different card https://huggingface.co/HermiHg/Qwen3.8-27B-DFlash2-Q2_K_S-MIX-GGUF/discussions/3
[link] [comments]
More from r/LocalLLaMA
-
NVIDIA shipped OpenShell, an open source sandbox that gives local and open agents real runtime limits instead of prompt rules. Over 100 firms joined the safety stack. OpenAI did not.
Sep 28
-
3090 for $1500???
Sep 28
-
modified qwen 3.8 27b modifies windows credential dumper to bypass EDR detection
Sep 28
-
Minisforum MS-S1 MAX-P495 @ €7.799,00
Sep 28
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.