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Qwen2.5-0.5B-Instruct · Q5_K_S
Apple M2 ProOllama v0.50L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen2.5-0.5B-Instruct (Q5_K_S) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
165.81 tok/s
Decode
Decode speed
551.58 tok/s
Prefill
Prefill speed
1.74 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
2 days ago
Last verified
Performance
- vLLM · Q3_K_L Decode 248.22 · Prefill 810.72 ·
- Ollama · Q5_K_S (current)Decode 165.81 · Prefill 551.58 ·
- Ollama · Q8_0 Decode 140.52 · Prefill 749.46 ·
Core figures
- Decode (avg)
- 165.81 tok/s
- Prefill (avg)
- 551.58 tok/s
- TTFT (avg)
- 1.74 s
- VRAM (avg)
- 3.04 GB
- MTP acceptance rate
- —
- TTFB
- 1.33 GB
- Power draw
- 63 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen2.5-0.5B-Instruct
- Quantization
- Q5_K_S
- Framework
- Ollama
- Version
- v0.50
- Context length
- 16384 tokens
- Batch size
- 256
- GPU layers
- 33
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M2 Pro
- Measured VRAM (avg)
- 3.04 GB
- OS
- macOS 15.0
- Driver
- Apple M2 Pro
- CUDA
- N/A
- Power draw
- 63 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.50 · macOS 15.0 · CUDA N/A · 16384 ctx
165.81 tok/s
Decode
551.58 tok/s
Prefill
1.74 s
TTFT
3.04 GB
VRAM
—
MTP
63 W
Power draw
L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=59 at Q5_K_S