llamaperf

Qwen3.8 Flash CIRU Orca v5.0, 64000-depth cached append

on AMD Strix Halo 128GB · CIRU v5 native HIP · 262,144 ctx

AMD hardware
Oct 11, 2026
Throughput
59.2 t/s gen · 780.1 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
CIRU v5 compact indexed affine (experts 4.5175 bpw) (GGUF)
KV cache
F16
MTP (Multi-Token Prediction)
on
System RAM
128 GB

Use cases

long-context

Summary

User reports Qwen3.8-Flash-CIRU-STRIX-Orca v5.0 at 59.2 t/s generation and 780.1 t/s prompt processing on one AMD Ryzen AI Max+ 395 / Radeon 8060S system with 128 GiB shared unified memory. Setup is CIRU v5 native HIP with compact indexed-affine routed experts at 4.5175 bpw, F16 target and draft attention cache, a matching Q8 Orca MTP drafter at depth 4, and 262144-token configured context. The headline is one initial observation at 64,000-token prior prefix depth with 2,048 appended tokens and 512 output tokens, not an aggregate; the reversed-order repeat gave 903.82 t/s append and 58.67 t/s generation.