llamaperf

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

on 2× AMD Strix Halo 128GB · llama.cpp · 196,000 ctx

Tone: positiveAMD hardware
Sep 7, 2026
Throughput
84.0 t/s gen · 408.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q4_K_XL (GGUF)
KV cache
Q8
System RAM
128 GB

Summary

User reports 84 t/s with 4 streams at 196K context on a model split across an iGPU (Vulkan) and an RTX 3090 Ti (CUDA). The model has 512 experts per layer, 36 layers of gated DeltaNet, 12 layers of top-k sparse attention, a 26.8 GiB n-gram table, and a built-in MTP draft head, at 103.69 GiB. Baseline on the iGPU alone is 22.2 tok/s. HumanEval+ scores 155/164, against 156/164 for Qwen3.8-27B on dual 3090 vLLM.