Back to search results

Qwen3.5-0.8B · Q4_K_M

Start a discussion
NVIDIA H2097GBvLLM v0.24L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q4_K_M) on NVIDIA H20 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

121.55 tok/s

Decode

Decode speed

512.9 tok/s

Prefill

Prefill speed

1.06 s

TTFT

Time to first token

3.48 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · Q3_K_L Decode 129.02 · Prefill 590.22 ·
  2. vLLM · Q4_K_M (current)Decode 121.55 · Prefill 512.9 ·
  3. vLLM · Q8_0 Decode 82.63 · Prefill 440.06 ·

Core figures

Decode (avg)
121.55 tok/s
Prefill (avg)
512.9 tok/s
TTFT (avg)
1.06 s
VRAM (avg)
3.48 GB
MTP acceptance rate
—
TTFB
0.97 GB
Power draw
390.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q4_K_M
Framework
vLLM
Version
v0.24
Context length
8192 tokens
Batch size
32
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 H20
Nominal VRAM
97 GB
Measured VRAM (avg)
3.48 GB
OS
Windows 11 24H2
Driver
570.86
CUDA
12.6
Power draw
390.9 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

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

    121.55 tok/s

    Decode

    512.9 tok/s

    Prefill

    1.06 s

    TTFT

    3.48 GB

    VRAM

    —

    MTP

    390.9 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=56 running model_id=51 at Q4_K_M