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Qwen2.5-0.5B-Instruct · Q5_K_S
Apple M5 Pro64GBvLLM v0.44L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q5_K_S) on Apple M5 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
376.55 tok/s
Decode
Decode speed
1,237.86 tok/s
Prefill
Prefill speed
1.28 s
TTFT
Time to first token
3.04 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_S (current)Decode 376.55 · Prefill 1237.86 ·
- vLLM · Q8_0 Decode 284.14 · Prefill 1555.29 ·
Core figures
- Decode (avg)
- 376.55 tok/s
- Prefill (avg)
- 1,237.86 tok/s
- TTFT (avg)
- 1.28 s
- VRAM (avg)
- 3.04 GB
- MTP acceptance rate
- —
- TTFB
- 3.01 GB
- Power draw
- 79.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen2.5-0.5B-Instruct
- Quantization
- Q5_K_S
- Framework
- vLLM
- Version
- v0.44
- Context length
- 4096 tokens
- Batch size
- 8
- GPU layers
- 999
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Pro
- Nominal VRAM
- 64 GB
- Measured VRAM (avg)
- 3.04 GB
- OS
- macOS 15.0
- Driver
- Apple M5 Pro
- CUDA
- N/A
- Power draw
- 79.4 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.44 · macOS 15.0 · CUDA N/A · 4096 ctx
376.55 tok/s
Decode
1,237.86 tok/s
Prefill
1.28 s
TTFT
3.04 GB
VRAM
—
MTP
79.4 W
Power draw
L2 batch seed 2026-10-13: vLLM on hw_id=27 running model_id=59 at Q5_K_S