Qwen3.6-27B AEON Uncensored · vLLM-ultimate (custom) · NVFP4 + DFlash · conc 8

status: done

Configuration

ModelAEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored
CompanyAlibaba
FamilyQwen
Parameters27B (dense) + DFlash external drafter
EnginevLLM (aeon-vllm-ultimate custom container) + DFlash (z-lab drafter, num_speculative_tokens 12) (speculative decoding)
Quant / precisionNVFP4 (XS mixed-precision)
Why this quantSame AEON NVFP4-XS model served via the card's "DGX Spark production" recipe — custom container ghcr.io/aeon-7/aeon-vllm-ultimate:latest (vLLM 0.23.0) + external z-lab/Qwen3.6-27B-DFlash drafter, DFlash num_speculative_tokens=12. User's explicit request. SAFETY — untrusted image; NO creds, models READ-ONLY.
DownloadAEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XS
Context window65536
Input modalitiestext, image, video (served text-only here)

Measured results

Prefill tok/s124.32
Decode tok/s127.14
Peak memory (GB)106.17 (system MemAvailable delta (10s sampling) — custom vLLM static KV reservation (util 0.85))
Completed2026-06-24 01:11 +0800

Full run command

# UNTRUSTED third-party container — NO creds, full cached repo root + drafter mounted READ-ONLY.
scripts/bench-aeon-ultimate-serving.sh 65536 8 1000 900 256
# 456 prompts completed before the 900 s cap (0 errors). TTFT median 14875.8 ms.

qwen3.6-27b-aeon-uncensored Alibaba Qwen NVFP4 16-40B conc-8

Notes

Custom AEON-ultimate container + DFlash, conc 8. Part of the 1/8/32 sweep on the card’s “DGX Spark production” recipe (custom vLLM 0.23.0 + external z-lab DFlash drafter). Mid-point between single-stream and the c=32 throughput point. See the conc-1 page for the safety posture (untrusted image, no creds, models read-only) and drafter details.

  • Result (conc 8): prefill 124.32 tok/s, decode 127.14 tok/s aggregate; 456 prompts completed before the 900 s cap, with 0 errors. Median TTFT 14875.8 ms. So batching helps aggregate throughput relative to conc=1, but the path still misses the benchmark target badly.
  • Acceptance: DFlash again showed a front-loaded 12-token draft profile with mean acceptance length ~3.3-4.3 and avg draft acceptance ~19-28%. That is consistent with the conc=1 page: some speculative work is paying off, but not nearly enough to justify the observed latency and cap behavior.
  • Takeaway: the custom AEON container is not rescuing throughput under moderate batch either. It remains a stable but slow serving path on this workload.