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Qwen3-4B · Q3_K_L

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NVIDIA RTX 308010GBllama.cpp v0.24L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-4B (Q3_K_L) on NVIDIA RTX 3080 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

99.23 tok/s

Decode

Decode speed

538.67 tok/s

Prefill

Prefill speed

1.15 s

TTFT

Time to first token

8.15 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 131.47 · Prefill 451.18 ·
  2. llama.cpp · Q3_K_L (current)Decode 99.23 · Prefill 538.67 ·
  3. Ollama · IQ2_XS Decode 118.69 · Prefill 621.83 ·
  4. Ollama · Q2_K Decode 102.28 · Prefill 452.09 ·

Core figures

Decode (avg)
99.23 tok/s
Prefill (avg)
538.67 tok/s
TTFT (avg)
1.15 s
VRAM (avg)
8.15 GB
MTP acceptance rate
—
TTFB
0.79 GB
Power draw
370.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-4B
Quantization
Q3_K_L
Framework
llama.cpp
Version
v0.24
Context length
8192 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 3080
Nominal VRAM
10 GB
Measured VRAM (avg)
8.15 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.6
Power draw
370.2 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.24 · Windows 11 23H2 · CUDA 12.6 · 8192 ctx

    99.23 tok/s

    Decode

    538.67 tok/s

    Prefill

    1.15 s

    TTFT

    8.15 GB

    VRAM

    —

    MTP

    370.2 W

    Power draw

    L2 batch seed 2026-10-13: llama.cpp on hw_id=44 running model_id=54 at Q3_K_L