Back to search results

Llama-3-8B-Instruct · Q3_K_M

Start a discussion
NVIDIA RTX PRO 6000 Blackwell 96GB96GBOllama v0.38L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q3_K_M) on NVIDIA RTX PRO 6000 Blackwell 96GB with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

249.19 tok/s

Decode

Decode speed

1,206.14 tok/s

Prefill

Prefill speed

1.82 s

TTFT

Time to first token

13.52 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M Decode 345.66 · Prefill 1718.2 ·
  2. llama.cpp · Q5_K_M Decode 194.41 · Prefill 877.5 ·
  3. Ollama · Q3_K_M (current)Decode 249.19 · Prefill 1206.14 ·
  4. Ollama · Q6_K Decode 185.73 · Prefill 814.54 ·

Core figures

Decode (avg)
249.19 tok/s
Prefill (avg)
1,206.14 tok/s
TTFT (avg)
1.82 s
VRAM (avg)
13.52 GB
MTP acceptance rate
—
TTFB
1.99 GB
Power draw
323.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3-8B-Instruct
Quantization
Q3_K_M
Framework
Ollama
Version
v0.38
Context length
2048 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
NVIDIA RTX PRO 6000 Blackwell 96GB
Nominal VRAM
96 GB
Measured VRAM (avg)
13.52 GB
OS
Ubuntu 22.04
Driver
570.86
CUDA
12.4
Power draw
323.7 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.38 · Ubuntu 22.04 · CUDA 12.4 · 2048 ctx

    249.19 tok/s

    Decode

    1,206.14 tok/s

    Prefill

    1.82 s

    TTFT

    13.52 GB

    VRAM

    —

    MTP

    323.7 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=68 running model_id=69 at Q3_K_M