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Qwen3-30B-A3B · Q8_0

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NVIDIA RTX 409024GBllama.cpp b4200L0 Self-reported

This page aggregates 1 real-world runs of Qwen3-30B-A3B (Q8_0) on NVIDIA RTX 4090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

24.3 tok/s

Decode

Decode speed

182.3 tok/s

Prefill

Prefill speed

0.55 s

TTFT

Time to first token

24 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q8_0 Decode 26.4 · Prefill 198 ·
  2. vLLM · Q5_K_M Decode 38.4 · Prefill 288 ·
  3. vLLM · Q4_K_M Decode 47.1 · Prefill 353.3 ·
  4. llama.cpp · Q8_0 (current)Decode 24.3 · Prefill 182.3 ·
  5. llama.cpp · Q5_K_M Decode 35.3 · Prefill 264.8 ·
  6. llama.cpp · Q4_K_M Decode 43.2 · Prefill 324 ·

Core figures

Decode (avg)
24.3 tok/s
Prefill (avg)
182.3 tok/s
TTFT (avg)
0.55 s
VRAM (avg)
24 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-30B-A3B
Quantization
Q8_0
Framework
llama.cpp
Version
b4200
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
NVIDIA RTX 4090
Nominal VRAM
24 GB
Measured VRAM (avg)
24 GB
OS
Linux
Driver
570.65
CUDA
12.6

Sources & evidence

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

  1. L0 Self-reportedOtherOriginal link Verified on 2026-10-06

    b4200 · Linux · CUDA 12.6 · 4096 ctx

    24.3 tok/s

    Decode

    182.3 tok/s

    Prefill

    0.55 s

    TTFT

    24 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算（add-1000-records-batch3）