DFlash 2 adds a path selector and gets 2.7-3.4x throughput on Qwen3.8-27B.

Inco AI kept parallel block drafting and added a bilinear-attention path selector scoring adjacent token pairs across the top-16 candidates for 0.6% latency overhead, plus a two-tap dynamic depthwise convolution fixing suffix decay for 3% more parameters. Result: 21% gain in mean acceptance length over DFlash, 3.1-4.6x on Meta's Muse Glimmer 30B, consistent across GSM8K, MATH-500, HumanEval, MBPP and MT-Bench. (Inco AI) The llama.cpp integration PR is open as ggml-org/llama.cpp #27342, filed 2026-08-18 and still unmerged, with community reports of up to 30% faster inference that the maintainers haven't verified.