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Qwen2.5-0.5B-Instruct · Q4_K_M
Apple M1 ProvLLM v0.26L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q4_K_M) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
203.19 tok/s
Decode
Decode speed
994.69 tok/s
Prefill
Prefill speed
2.39 s
TTFT
Time to first token
2.96 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- llama.cpp · Q4_K_M Decode 190.83 · Prefill 796.91 ·
- vLLM · Q4_K_M (current)Decode 203.19 · Prefill 994.69 ·
Core figures
- Decode (avg)
- 203.19 tok/s
- Prefill (avg)
- 994.69 tok/s
- TTFT (avg)
- 2.39 s
- VRAM (avg)
- 2.96 GB
- MTP acceptance rate
- —
- TTFB
- 1.63 GB
- Power draw
- 45.6 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen2.5-0.5B-Instruct
- Quantization
- Q4_K_M
- Framework
- vLLM
- Version
- v0.26
- Context length
- 32768 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 M1 Pro
- Measured VRAM (avg)
- 2.96 GB
- OS
- macOS 15.0
- Driver
- Apple M1 Pro
- CUDA
- N/A
- Power draw
- 45.6 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.26 · macOS 15.0 · CUDA N/A · 32768 ctx
203.19 tok/s
Decode
994.69 tok/s
Prefill
2.39 s
TTFT
2.96 GB
VRAM
—
MTP
45.6 W
Power draw
L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=59 at Q4_K_M