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Raon-1-mini-preview · IQ2_M

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Apple M2 Ultrallama.cpp v0.22L2 Cross-framework verified

This page aggregates 1 real-world runs of Raon-1-mini-preview (IQ2_M) on Apple M2 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

155.94 tok/s

Decode

Decode speed

578.17 tok/s

Prefill

Prefill speed

2.11 s

TTFT

Time to first token

33.55 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

14 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M (current)Decode 155.94 · Prefill 578.17 ·
  2. llama.cpp · IQ3_S Decode 130 · Prefill 684.42 ·
  3. Ollama · Q4_K_M Decode 110.45 · Prefill 501.39 ·

Core figures

Decode (avg)
155.94 tok/s
Prefill (avg)
578.17 tok/s
TTFT (avg)
2.11 s
VRAM (avg)
33.55 GB
MTP acceptance rate
—
TTFB
1.25 GB
Power draw
103.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Raon-1-mini-preview
Quantization
IQ2_M
Framework
llama.cpp
Version
v0.22
Context length
2048 tokens
Batch size
256
GPU layers
99
Flash Attention
Off

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M2 Ultra
Measured VRAM (avg)
33.55 GB
OS
macOS 26.1
Power draw
103.9 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

    v0.22 · macOS 26.1 · 2048 ctx

    155.94 tok/s

    Decode

    578.17 tok/s

    Prefill

    2.11 s

    TTFT

    33.55 GB

    VRAM

    —

    MTP

    103.9 W

    Power draw

    L2 batch seed 2026-10-22: llama.cpp on hw_id=103 running model_id=93 at IQ2_M