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Qwen3.5-0.8B · Q4_K_M

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NVIDIA RTX 409024GBllama.cpp v0.29L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q4_K_M) on NVIDIA RTX 4090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

278.24 tok/s

Decode

Decode speed

916.88 tok/s

Prefill

Prefill speed

1.74 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

Today

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 280.41 · Prefill 1104.34 ·
  2. llama.cpp · Q4_K_M (current)Decode 278.24 · Prefill 916.88 ·
  3. vLLM · IQ3_XS Decode 302.65 · Prefill 1148.6 ·

Core figures

Decode (avg)
278.24 tok/s
Prefill (avg)
916.88 tok/s
TTFT (avg)
1.74 s
VRAM (avg)
3.48 GB
MTP acceptance rate
—
TTFB
2.23 GB
Power draw
290.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q4_K_M
Framework
llama.cpp
Version
v0.29
Context length
2048 tokens
Batch size
256
GPU layers
33
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)
3.48 GB
OS
Ubuntu 22.04
Driver
555.85
CUDA
12.4
Power draw
290.4 W

Sources & evidence

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

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

    v0.29 · Ubuntu 22.04 · CUDA 12.4 · 2048 ctx

    278.24 tok/s

    Decode

    916.88 tok/s

    Prefill

    1.74 s

    TTFT

    3.48 GB

    VRAM

    —

    MTP

    290.4 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=1 running model_id=51 at Q4_K_M