Qwen3.5-4B · Q4_K_M
This page aggregates 2 real-world runs of Qwen3.5-4B (Q4_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
90.26 tok/s
Decode
Decode speed
398.49 tok/s
Prefill
Prefill speed
0.8 s
TTFT
Time to first token
8.99 GB
VRAM
VRAM usage
2
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q4_K_M (current)Decode 90.26 · Prefill 398.49 ·
- llama.cpp · Q5_K_M Decode 71.83 · Prefill 346.83 ·
- llama.cpp · Q8_0 Decode 64.66 · Prefill 241.03 ·
- Ollama · FP16 Decode 40.67 · Prefill 196.29 ·
- Ollama · Q5_K_M Decode 69.06 · Prefill 289.88 ·
- Ollama · Q8_0 Decode 56.21 · Prefill 286.64 ·
- llama.cpp · Q3_K_S Decode 110.57 · Prefill 596.61 ·
- Ollama · Q4_K_M Decode 76.41 · Prefill 245.09 ·
Core figures
- Decode (avg)
- 90.26 tok/s
- Prefill (avg)
- 398.49 tok/s
- TTFT (avg)
- 0.8 s
- VRAM (avg)
- 8.99 GB
- MTP acceptance rate
- —
- TTFB
- 0.73 GB
- Power draw
- 72.85 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.5-4B
- Quantization
- Q4_K_M
- Framework
- llama.cpp
- Version
- v0.38
- Context length
- 8192 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)
- 8.99 GB
- OS
- Ubuntu 24.04
- Driver
- 615.78
- CUDA
- 13.0
- Power draw
- 78.6 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
v0.38 · Ubuntu 24.04 · CUDA 13.0 · 8192 ctx
96.11 tok/s
Decode
444.14 tok/s
Prefill
1.33 s
TTFT
8.99 GB
VRAM
—
MTP
78.6 W
Power draw
L2 batch seed 2026-10-20 (Linux 116GiB unlock): llama.cpp on Spark running model_id=48 at Q4_K_M
v0.53 · Windows 11 24H2 · CUDA 13.0 · 16384 ctx
84.41 tok/s
Decode
352.83 tok/s
Prefill
0.28 s
TTFT
8.99 GB
VRAM
—
MTP
67.1 W
Power draw
L2 batch seed 2026-10-19: llama.cpp on hw_id=110 running model_id=48 at Q4_K_M