Back to search results

Qwen3.8-9B · Q2_K

Start a discussion
NVIDIA RTX 4070 Ti12GBvLLM v0.42L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (Q2_K) on NVIDIA RTX 4070 Ti with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

102.51 tok/s

Decode

Decode speed

448.1 tok/s

Prefill

Prefill speed

1.08 s

TTFT

Time to first token

11.4 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. vLLM · IQ1_S Decode 170.52 · Prefill 868.4 ·
  2. vLLM · Q2_K (current)Decode 102.51 · Prefill 448.1 ·

Core figures

Decode (avg)
102.51 tok/s
Prefill (avg)
448.1 tok/s
TTFT (avg)
1.08 s
VRAM (avg)
11.4 GB
MTP acceptance rate
—
TTFB
0.82 GB
Power draw
276.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
Q2_K
Framework
vLLM
Version
v0.42
Context length
8192 tokens
Batch size
8
GPU layers
999
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 4070 Ti
Nominal VRAM
12 GB
Measured VRAM (avg)
11.4 GB
OS
macOS 15.0
Driver
565.57
CUDA
12.6
Power draw
276.8 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

    v0.42 · macOS 15.0 · CUDA 12.6 · 8192 ctx

    102.51 tok/s

    Decode

    448.1 tok/s

    Prefill

    1.08 s

    TTFT

    11.4 GB

    VRAM

    —

    MTP

    276.8 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=42 running model_id=52 at Q2_K