llamaperf

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

on 2× NVIDIA RTX 3090 · llama.cpp · 261,888 ctx

Tone: positiveNVIDIA hardware
Sep 4, 2026
Throughput
37-41 t/s gen · 195.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
UD-Q4_K_XL (GGUF)
KV cache
F16
MTP (Multi-Token Prediction)
on
System RAM
188 GB
VRAM reported
24 GB

Use cases

coding

Summary

User reports decode improving from 25-29 to 37-41 t/s with the UD-Q4_K_XL quant, expert cache, and MTP. Prefill runs 180-195 t/s, load time is 2 min, and cache hit rate is 90-92%. MTP acceptance is 50-58% on reasoning and 94% on code emission. Host RAM is 73 GB pinned plus 28 GB PLE. The branch is available.