Qwen3.6-27B · Q5_K_S
This page aggregates 1 real-world runs of Qwen3.6-27B (Q5_K_S) on NVIDIA RTX 3090 Ti with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
50.84 tok/s
Decode
Decode speed
1,376.9 tok/s
Prefill
Prefill speed
0.09 s
TTFT
Time to first token
22.47 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
GitHub
Source platforms
2026-09-27
Last verified
Performance
- llama.cpp · Q5_K_S (current)Decode 50.84 · Prefill 1376.9 ·
Core figures
- Decode (avg)
- 50.84 tok/s
- Prefill (avg)
- 1,376.9 tok/s
- TTFT (avg)
- 0.09 s
- VRAM (avg)
- 22.47 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.6-27B
- Quantization
- Q5_K_S
- Framework
- llama.cpp
- Version
- beellama.cpp v0.3.0-e0663be2713c
- Context length
- 102400 tokens
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 3090 Ti
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 22.47 GB
- OS
- Ubuntu 24.04.4 LTS
- Driver
- 580.159.03
- CUDA
- 13.0
Get started
Weights for this deployment
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
beellama.cpp v0.3.0-e0663be2713c · Ubuntu 24.04.4 LTS · CUDA 13.0 · 102400 ctx
50.84 tok/s
Decode
1,376.9 tok/s
Prefill
0.09 s
TTFT
22.47 GB
VRAM
—
MTP
— W
Power draw
RTX3090Ti eGPU +RyzenAI9HX370/28GiB RAM，beellama.cpp DFlash fork，Q5_K_S、ctx102400。narrative均值50.84t/s、短prompt TTFT85ms；13179tok prefill1376.90t/s。22.47GiB为bench末尾23006MiB读数，非峰值；soak工具未完成。392.82W为末尾瞬时功耗，已置空。