llamaperf

Qwen3.8 125B (6B active) Flash-Next

on Unknown GPU · llama.cpp

Tone: positive
Oct 14, 2026
Throughput
4.4 t/s gen
Quant
mixed-quant (GGUF)
System RAM
24 GB

Summary

User reports Qwen3.8-Flash-Next at 4.4 t/s decode and ~2.9 t/s prefill on a RedMagic 10S Pro (Snapdragon 8 Elite, 24 GB RAM, 1 TB UFS). Setup is llama.cpp with a 66 GB mixed-quant GGUF (2 shards), CPU only, no NPU or GPU path, pinned to one Oryon cluster with --cpu-mask 0x3f --cpu-strict 1 at -t 6. The weights are memory-mapped and demand-paged since they do not fit in RAM. Speculative decoding with the MTP head was 4x slower (3.94 to 0.95 t/s) because the 2.8 GB sidecar pushed the expert working set past the page-cache cliff. Cluster pinning gave +26% and a NEON BF16 path gave +40% decode and +55% prefill. The user released the project as MonsterQwenDroid 0.1.0-alpha under MIT.