Qwen3.8 27B
on NVIDIA RTX 5090 · llama.cpp · 65,536 ctx
Sep 7, 2026
Summary
User reports that DSpark GGUF for Qwen3.8 27B shows no performance improvement and is extremely memory hungry.
Setup is llama.cpp with DSpark support merged in PR #25173, using a converted and quantized RadixArk/Qwen3.8-27B-DSpark GGUF, with context set to 64k to test the BF16 speculator.
Draft acceptance is 0.28922 with a mean length of 3.02.