Qwen3.6-27B · Q8_0
This page aggregates 1 real-world runs of Qwen3.6-27B (Q8_0) on NVIDIA RTX PRO 6000 Blackwell 96GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
105.75 tok/s
Decode
Decode speed
445.38 tok/s
Prefill
Prefill speed
1.17 s
TTFT
Time to first token
67.3 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · IQ1_S Decode 267.34 · Prefill 934.02 ·
- llama.cpp · Q8_0 (current)Decode 105.75 · Prefill 445.38 ·
- vLLM · IQ3_S Decode 220.08 · Prefill 989.75 ·
Core figures
- Decode (avg)
- 105.75 tok/s
- Prefill (avg)
- 445.38 tok/s
- TTFT (avg)
- 1.17 s
- VRAM (avg)
- 67.3 GB
- MTP acceptance rate
- —
- TTFB
- 0.85 GB
- Power draw
- 375.7 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.6-27B
- Quantization
- Q8_0
- Framework
- llama.cpp
- Version
- v0.48
- Context length
- 2048 tokens
- Batch size
- 512
- GPU layers
- 20
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX PRO 6000 Blackwell 96GB
- Nominal VRAM
- 96 GB
- Measured VRAM (avg)
- 67.3 GB
- OS
- Ubuntu 22.04
- Driver
- 565.57
- CUDA
- 12.4
- Power draw
- 375.7 W
Get started
Original model resources
Base model resources may not match this quantization. Use the verified deployment weights above when available.
Sources & evidence
1 measured records in total, each traceable to its original source
v0.48 · Ubuntu 22.04 · CUDA 12.4 · 2048 ctx
105.75 tok/s
Decode
445.38 tok/s
Prefill
1.17 s
TTFT
67.3 GB
VRAM
—
MTP
375.7 W
Power draw
L2 batch seed 2026-10-19: llama.cpp on hw_id=68 running model_id=6 at Q8_0