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Qwen3-4B-Thinking-2507 · Q4_K_M
Apple M1llama.cpp v0.23L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-4B-Thinking-2507 (Q4_K_M) on Apple M1 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
59.36 tok/s
Decode
Decode speed
212.58 tok/s
Prefill
Prefill speed
1.77 s
TTFT
Time to first token
8.99 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 · IQ2_XS Decode 75.23 · Prefill 381.59 ·
- llama.cpp · Q4_K_M (current)Decode 59.36 · Prefill 212.58 ·
- vLLM · FP16 Decode 30.09 · Prefill 100.41 ·
- vLLM · IQ2_XS Decode 79.87 · Prefill 436.11 ·
Core figures
- Decode (avg)
- 59.36 tok/s
- Prefill (avg)
- 212.58 tok/s
- TTFT (avg)
- 1.77 s
- VRAM (avg)
- 8.99 GB
- MTP acceptance rate
- —
- TTFB
- 0.47 GB
- Power draw
- 26.8 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-4B-Thinking-2507
- Quantization
- Q4_K_M
- Framework
- llama.cpp
- Version
- v0.23
- Context length
- 16384 tokens
- Batch size
- 512
- GPU layers
- 28
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M1
- Measured VRAM (avg)
- 8.99 GB
- OS
- macOS 15.0
- Driver
- Apple M1
- CUDA
- N/A
- Power draw
- 26.8 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.23 · macOS 15.0 · CUDA N/A · 16384 ctx
59.36 tok/s
Decode
212.58 tok/s
Prefill
1.77 s
TTFT
8.99 GB
VRAM
—
MTP
26.8 W
Power draw
L2 batch seed 2026-10-16: llama.cpp on hw_id=99 running model_id=57 at Q4_K_M