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Raon-1-mini-preview · Q8_0

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Apple M5 Ultra512GBllama.cpp v0.47L2 Cross-framework verified

This page aggregates 1 real-world runs of Raon-1-mini-preview (Q8_0) on Apple M5 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

76.11 tok/s

Decode

Decode speed

389.07 tok/s

Prefill

Prefill speed

1.36 s

TTFT

Time to first token

71.65 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

13 days ago

Last verified

Performance

  1. llama.cpp · Q8_0 (current)Decode 76.11 · Prefill 389.07 ·
  2. Ollama · Q4_K_S Decode 118.22 · Prefill 450.95 ·

Core figures

Decode (avg)
76.11 tok/s
Prefill (avg)
389.07 tok/s
TTFT (avg)
1.36 s
VRAM (avg)
71.65 GB
MTP acceptance rate
—
TTFB
0.61 GB
Power draw
114.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Raon-1-mini-preview
Quantization
Q8_0
Framework
llama.cpp
Version
v0.47
Context length
4096 tokens
Batch size
512
GPU layers
99
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)
71.65 GB
OS
macOS 26.1
Power draw
114.3 W

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-22

    v0.47 · macOS 26.1 · 4096 ctx

    76.11 tok/s

    Decode

    389.07 tok/s

    Prefill

    1.36 s

    TTFT

    71.65 GB

    VRAM

    —

    MTP

    114.3 W

    Power draw

    L2 batch seed 2026-10-22: llama.cpp on hw_id=29 running model_id=93 at Q8_0