Qwen3.6-27B · Q5_K_M
This page aggregates 1 real-world runs of Qwen3.6-27B (Q5_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
8.41 tok/s
Decode
Decode speed
32.22 tok/s
Prefill
Prefill speed
1.31 s
TTFT
Time to first token
54.83 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · FP16 Decode 5.5 · Prefill 19.76 ·
- llama.cpp · Q5_K_M (current)Decode 8.41 · Prefill 32.22 ·
- llama.cpp · Q8_0 Decode 7.68 · Prefill 32.82 ·
- Ollama · Q5_K_M Decode 8.83 · Prefill 30.38 ·
- Ollama · Q8_0 Decode 6.72 · Prefill 25.96 ·
- llama.cpp · IQ3_S Decode 13.81 · Prefill 45.91 ·
- llama.cpp · Q4_K_M Decode 10.95 · Prefill 50.01 ·
- Ollama · Q4_K_M Decode 10.39 · Prefill 39.74 ·
Core figures
- Decode (avg)
- 8.41 tok/s
- Prefill (avg)
- 32.22 tok/s
- TTFT (avg)
- 1.31 s
- VRAM (avg)
- 54.83 GB
- MTP acceptance rate
- —
- TTFB
- 0.07 GB
- Power draw
- 80.6 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.6-27B
- Quantization
- Q5_K_M
- Framework
- llama.cpp
- Version
- v0.50
- Context length
- 16384 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX Spark
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 54.83 GB
- OS
- Ubuntu 24.04
- Driver
- 615.78
- CUDA
- 13.0
- Power draw
- 80.6 W
- Reference price
- $2,399 · updated 2026-10-19
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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
v0.50 · Ubuntu 24.04 · CUDA 13.0 · 16384 ctx
8.41 tok/s
Decode
32.22 tok/s
Prefill
1.31 s
TTFT
54.83 GB
VRAM
—
MTP
80.6 W
Power draw
L2 batch seed 2026-10-20 (Linux 116GiB unlock): llama.cpp on Spark running model_id=6 at Q5_K_M