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elephant-1 · Q6_K

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Apple M5 Ultra512GBOllama v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of elephant-1 (Q6_K) on Apple M5 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

62.32 tok/s

Decode

Decode speed

341.91 tok/s

Prefill

Prefill speed

1.7 s

TTFT

Time to first token

21 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 · Q3_K_S Decode 117.38 · Prefill 386.02 ·
  2. llama.cpp · Q5_K_S Decode 83.32 · Prefill 309.36 ·
  3. Ollama · Q6_K (current)Decode 62.32 · Prefill 341.91 ·

Core figures

Decode (avg)
62.32 tok/s
Prefill (avg)
341.91 tok/s
TTFT (avg)
1.7 s
VRAM (avg)
21 GB
MTP acceptance rate
—
TTFB
0.5 GB
Power draw
130 W

Configuration

Member-level fields are taken from the most recent run

Model
elephant-1
Quantization
Q6_K
Framework
Ollama
Version
v0.44
Context length
32768 tokens
Batch size
512
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 M5 Ultra
Nominal VRAM
512 GB
Measured VRAM (avg)
21 GB
OS
macOS 26.1
Power draw
130 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

    v0.44 · macOS 26.1 · 32768 ctx

    62.32 tok/s

    Decode

    341.91 tok/s

    Prefill

    1.7 s

    TTFT

    21 GB

    VRAM

    —

    MTP

    130 W

    Power draw

    L2 batch seed 2026-10-22: Ollama on hw_id=29 running model_id=95 at Q6_K