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DeepSeek-R1-Distill-Qwen-14B · Q4_K_M

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Apple M5 Max128GBvLLM v0.28L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q4_K_M) on Apple M5 Max with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

134.81 tok/s

Decode

Decode speed

469.71 tok/s

Prefill

Prefill speed

0.35 s

TTFT

Time to first token

26.21 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 202.22 · Prefill 672.97 ·
  2. vLLM · Q4_K_M (current)Decode 134.81 · Prefill 469.71 ·

Core figures

Decode (avg)
134.81 tok/s
Prefill (avg)
469.71 tok/s
TTFT (avg)
0.35 s
VRAM (avg)
26.21 GB
MTP acceptance rate
—
TTFB
1.08 GB
Power draw
91.2 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
Q4_K_M
Framework
vLLM
Version
v0.28
Context length
16384 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 M5 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
26.21 GB
OS
macOS 15.0
Driver
Apple M5 Max
CUDA
N/A
Power draw
91.2 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.28 · macOS 15.0 · CUDA N/A · 16384 ctx

    134.81 tok/s

    Decode

    469.71 tok/s

    Prefill

    0.35 s

    TTFT

    26.21 GB

    VRAM

    —

    MTP

    91.2 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=28 running model_id=71 at Q4_K_M