Qwen3.5-27B · Q4_K_M
This page aggregates 2 real-world runs of Qwen3.5-27B (Q4_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
10.21 tok/s
Decode
Decode speed
49.89 tok/s
Prefill
Prefill speed
0.58 s
TTFT
Time to first token
48.59 GB
VRAM
VRAM usage
2
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q6_K Decode 8.03 · Prefill 30.64 ·
- llama.cpp · Q8_0 Decode 6.76 · Prefill 25.64 ·
- Ollama · FP16 Decode 4.9 · Prefill 24.42 ·
- Ollama · Q6_K Decode 7.03 · Prefill 31.25 ·
- Ollama · Q8_0 Decode 6.87 · Prefill 25.86 ·
- llama.cpp · Q4_K_M (current)Decode 10.21 · Prefill 49.89 ·
- Ollama · Q4_K_M Decode 9.77 · Prefill 41.43 ·
Core figures
- Decode (avg)
- 10.21 tok/s
- Prefill (avg)
- 49.89 tok/s
- TTFT (avg)
- 0.58 s
- VRAM (avg)
- 48.59 GB
- MTP acceptance rate
- —
- TTFB
- 0.08 GB
- Power draw
- 69.25 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.5-27B
- Quantization
- Q4_K_M
- Framework
- llama.cpp
- Version
- v0.45
- Context length
- 32768 tokens
- Batch size
- 256
- GPU layers
- 99
- Flash Attention
- On
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)
- 48.59 GB
- OS
- Windows 11 24H2
- Driver
- NVIDIA 590.10
- CUDA
- 13.0
- Power draw
- 84.6 W
- Reference price
- $2,399 · updated 2026-10-19
Prices are not live; check the store page
Sources & evidence
2 measured records in total, each traceable to its original source
v0.45 · Windows 11 24H2 · CUDA 13.0 · 32768 ctx
9.79 tok/s
Decode
50.83 tok/s
Prefill
0.26 s
TTFT
48.59 GB
VRAM
—
MTP
84.6 W
Power draw
L2 batch seed 2026-10-19: llama.cpp on hw_id=110 running model_id=50 at Q4_K_M
v0.53 · Ubuntu 24.04 · CUDA 13.0 · 32768 ctx
10.62 tok/s
Decode
48.95 tok/s
Prefill
0.91 s
TTFT
48.59 GB
VRAM
—
MTP
53.9 W
Power draw
L2 batch seed 2026-10-19: llama.cpp on hw_id=110 running model_id=50 at Q4_K_M