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Qwen3.8-9B · Q2_K
Apple M1 ProvLLM v0.55L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3.8-9B (Q2_K) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
84.42 tok/s
Decode
Decode speed
354.52 tok/s
Prefill
Prefill speed
0.96 s
TTFT
Time to first token
12.5 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- vLLM · Q2_K (current)Decode 84.42 · Prefill 354.52 ·
- Ollama · IQ2_XS Decode 84.92 · Prefill 307.29 ·
- Ollama · Q3_K_S Decode 67.09 · Prefill 242.11 ·
Core figures
- Decode (avg)
- 84.42 tok/s
- Prefill (avg)
- 354.52 tok/s
- TTFT (avg)
- 0.96 s
- VRAM (avg)
- 12.5 GB
- MTP acceptance rate
- —
- TTFB
- 0.68 GB
- Power draw
- 72.1 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.8-9B
- Quantization
- Q2_K
- Framework
- vLLM
- Version
- v0.55
- Context length
- 16384 tokens
- Batch size
- 16
- 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 M1 Pro
- Measured VRAM (avg)
- 12.5 GB
- OS
- macOS 15.0
- Driver
- Apple M1 Pro
- CUDA
- N/A
- Power draw
- 72.1 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.55 · macOS 15.0 · CUDA N/A · 16384 ctx
84.42 tok/s
Decode
354.52 tok/s
Prefill
0.96 s
TTFT
12.5 GB
VRAM
—
MTP
72.1 W
Power draw
L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=52 at Q2_K