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gemma-4-31B-it · Q8_0
Apple M4 Max128GBvLLM v0.25L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-31B-it (Q8_0) on Apple M4 Max with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
54.33 tok/s
Decode
Decode speed
226.48 tok/s
Prefill
Prefill speed
0.88 s
TTFT
Time to first token
76.97 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · Q3_K_M Decode 93.03 · Prefill 389.72 ·
- llama.cpp · Q8_0 Decode 53.15 · Prefill 271.21 ·
- vLLM · Q2_K Decode 111.52 · Prefill 400.99 ·
- vLLM · Q8_0 (current)Decode 54.33 · Prefill 226.48 ·
Core figures
- Decode (avg)
- 54.33 tok/s
- Prefill (avg)
- 226.48 tok/s
- TTFT (avg)
- 0.88 s
- VRAM (avg)
- 76.97 GB
- MTP acceptance rate
- —
- TTFB
- 0.43 GB
- Power draw
- 75.1 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-31B-it
- Quantization
- Q8_0
- Framework
- vLLM
- Version
- v0.25
- Context length
- 4096 tokens
- Batch size
- 32
- 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 M4 Max
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 76.97 GB
- OS
- macOS 15.0
- Driver
- Apple M4 Max
- CUDA
- N/A
- Power draw
- 75.1 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.25 · macOS 15.0 · CUDA N/A · 4096 ctx
54.33 tok/s
Decode
226.48 tok/s
Prefill
0.88 s
TTFT
76.97 GB
VRAM
—
MTP
75.1 W
Power draw
L2 batch seed 2026-10-10: vLLM on hw_id=26 running model_id=63 at Q8_0