Community Benchmarks DFlash 2 Speculative Decoding on Qwen 3.8 27B

This story is from 2026-08-21. It is preserved in the archive; the latest stories are on the live feed.

Community tests show DFlash 2 in llama.cpp achieves up to 2.26x speedup on coding prompts for Qwen 3.8 27B, with further gains using n-gram drafters. Benchmarks also explore optimal quants for speed and context size on RTX 5090.

Read the full story at r/LocalLLaMA ↗

Timeline · 2 reports

1. 2026-08-22 20:41 · r/LocalLLaMA
   I benchmark DFlash 2 (PR build) in llama.cpp on Qwen 3.8 27B against all speculative methods for 3 days. 2.26x on 100 real coding prompts, 4.68x with one n-gram drafter on top. Up to 8x on specific cases.
2. 2026-08-21 19:58 · r/LocalLLaMA
   Strix Halo (8060S / gfx1151), Qwen-3.8-27B @ Q8 and Q6 UD v3, up to 256K ctx, llama.cpp, DFlash2, vision, real workloads quality and steady performances, optimized recipes, ...