llamaperf

Qwen3.8 27B

on AMD Strix Halo 128GB · llama.cpp · 262,144 ctx

Tone: positiveAMD hardware
Sep 7, 2026
Throughput
26.0 t/s gen · 200.0 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
F16
System RAM
128 GB

Use cases

codingagentic

Summary

User reports running the pi coding agent with llama.cpp on Strix Halo, decoding at 26+ t/s and prefilling at ~200 t/s in the fast band. Setup uses Qwen3.8-27B with the UD-Q4_K_XL quant, a DFlash2 drafter, f16 KV cache and 256k context. A Flash-Next model with IQ4_XS quant and MTP is also mentioned. The KV cache hit rate is ~94%.