llamaperf

Qwen3.8 27B

on AMD RX 7900 XTX · llama.cpp · 184,320 ctx

AMD hardware
Oct 23, 2026
Throughput
69.6 t/s gen · 383.0 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
Q4_K_M (GGUF)
KV cache
q8_0
System RAM
31 GB
VRAM reported
24 GB

Use cases

codingagentic

Summary

User reports Qwen3.8-27B at 69.63 t/s generation on an RX 7900 XTX 24GB, with prompt processing at 383.02 t/s. Setup is llama.cpp 2.61.0 (Vulkan/RADV) via LM Studio with Q4_K_M and q8_0 KV cache, 184320-token context, flash attention on, all layers on GPU and about 23.3 of 24 GiB VRAM in use. Speculative decoding was on (MTP draft plus ngram, up to 2 draft tokens), so decode is inflated versus a plain run; draft acceptance was 0.558-0.68. A second 512-token run reached 64.09 t/s decode and 239.97 t/s prompt. One request at a time, nothing offloaded to system RAM.