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Qwen3.5-0.8B · Q8_0

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NVIDIA RTX 4070 Ti12GBvLLM v0.27L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q8_0) on NVIDIA RTX 4070 Ti with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

188.8 tok/s

Decode

Decode speed

665.28 tok/s

Prefill

Prefill speed

1.56 s

TTFT

Time to first token

4.03 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ4_XS Decode 272.81 · Prefill 1057.01 ·
  2. vLLM · IQ3_S Decode 341.56 · Prefill 1371.63 ·
  3. vLLM · Q8_0 (current)Decode 188.8 · Prefill 665.28 ·
  4. llama.cpp · IQ3_XS Decode 242.17 · Prefill 959.61 ·
  5. llama.cpp · Q3_K_S Decode 230.59 · Prefill 747.57 ·

Core figures

Decode (avg)
188.8 tok/s
Prefill (avg)
665.28 tok/s
TTFT (avg)
1.56 s
VRAM (avg)
4.03 GB
MTP acceptance rate
—
TTFB
1.51 GB
Power draw
315.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q8_0
Framework
vLLM
Version
v0.27
Context length
8192 tokens
Batch size
16
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)
4.03 GB
OS
Ubuntu 24.04
Driver
572.83
CUDA
12.6
Power draw
315.2 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.27 · Ubuntu 24.04 · CUDA 12.6 · 8192 ctx

    188.8 tok/s

    Decode

    665.28 tok/s

    Prefill

    1.56 s

    TTFT

    4.03 GB

    VRAM

    —

    MTP

    315.2 W

    Power draw

    L2 batch seed 2026-10-18: vLLM on hw_id=42 running model_id=51 at Q8_0