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Qwen3-4B · Q5_K_M
Apple M4 Pro64GBvLLM v0.45L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-4B (Q5_K_M) on Apple M4 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
115.86 tok/s
Decode
Decode speed
428.93 tok/s
Prefill
Prefill speed
1.61 s
TTFT
Time to first token
9.91 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- vLLM · Q5_K_M (current)Decode 115.86 · Prefill 428.93 ·
- Ollama · IQ2_XS Decode 164.02 · Prefill 802.68 ·
- Ollama · Q8_0 Decode 86.82 · Prefill 468.6 ·
Core figures
- Decode (avg)
- 115.86 tok/s
- Prefill (avg)
- 428.93 tok/s
- TTFT (avg)
- 1.61 s
- VRAM (avg)
- 9.91 GB
- MTP acceptance rate
- —
- TTFB
- 0.93 GB
- Power draw
- 66.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-4B
- Quantization
- Q5_K_M
- Framework
- vLLM
- Version
- v0.45
- Context length
- 4096 tokens
- Batch size
- 16
- GPU layers
- 999
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M4 Pro
- Nominal VRAM
- 64 GB
- Measured VRAM (avg)
- 9.91 GB
- OS
- macOS 15.0
- Driver
- Apple M4 Pro
- CUDA
- N/A
- Power draw
- 66.3 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.45 · macOS 15.0 · CUDA N/A · 4096 ctx
115.86 tok/s
Decode
428.93 tok/s
Prefill
1.61 s
TTFT
9.91 GB
VRAM
—
MTP
66.3 W
Power draw
L2 batch seed 2026-10-13: vLLM on hw_id=25 running model_id=54 at Q5_K_M