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DeepSeek-R1-Distill-Qwen-14B · Q2_K
Apple M5 Ultra512GBOllama v0.24L2 Cross-framework verified
This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q2_K) on Apple M5 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
118.32 tok/s
Decode
Decode speed
453.53 tok/s
Prefill
Prefill speed
0.83 s
TTFT
Time to first token
18.27 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q5_K_M Decode 77.61 · Prefill 409.9 ·
- Ollama · Q2_K (current)Decode 118.32 · Prefill 453.53 ·
- Ollama · Q5_K_M Decode 65.66 · Prefill 313.69 ·
Core figures
- Decode (avg)
- 118.32 tok/s
- Prefill (avg)
- 453.53 tok/s
- TTFT (avg)
- 0.83 s
- VRAM (avg)
- 18.27 GB
- MTP acceptance rate
- —
- TTFB
- 0.95 GB
- Power draw
- 92.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- DeepSeek-R1-Distill-Qwen-14B
- Quantization
- Q2_K
- Framework
- Ollama
- Version
- v0.24
- Context length
- 16384 tokens
- Batch size
- 256
- GPU layers
- 20
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Ultra
- Nominal VRAM
- 512 GB
- Measured VRAM (avg)
- 18.27 GB
- OS
- macOS 26.1
- Power draw
- 92.4 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.24 · macOS 26.1 · 16384 ctx
118.32 tok/s
Decode
453.53 tok/s
Prefill
0.83 s
TTFT
18.27 GB
VRAM
—
MTP
92.4 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=29 running model_id=71 at Q2_K