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Qwen3.5-0.8B · Q5_K_S

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NVIDIA RTX 3060 12GB12GBllama.cpp v0.50L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q5_K_S) on NVIDIA RTX 3060 12GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

142.06 tok/s

Decode

Decode speed

686.26 tok/s

Prefill

Prefill speed

1.49 s

TTFT

Time to first token

3.61 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q3_K_S Decode 187.82 · Prefill 792.93 ·
  2. llama.cpp · Q5_K_S (current)Decode 142.06 · Prefill 686.26 ·
  3. Ollama · Q3_K_L Decode 167.74 · Prefill 790.34 ·
  4. Ollama · Q5_K_M Decode 118.62 · Prefill 422.11 ·
  5. Strata · Q3_K_M Decode 279.25 · Prefill 1294.74 ·
  6. Strata · Q5_K_S Decode 214.78 · Prefill 1075.84 ·
  7. llama.cpp · Q8_0 Decode 312 · Prefill 2340 ·

Core figures

Decode (avg)
142.06 tok/s
Prefill (avg)
686.26 tok/s
TTFT (avg)
1.49 s
VRAM (avg)
3.61 GB
MTP acceptance rate
—
TTFB
1.14 GB
Power draw
277.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
Q5_K_S
Framework
llama.cpp
Version
v0.50
Context length
4096 tokens
Batch size
512
GPU layers
28
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 3060 12GB
Nominal VRAM
12 GB
Measured VRAM (avg)
3.61 GB
OS
Ubuntu 22.04
Driver
570.86
CUDA
12.8
Power draw
277.8 W

Sources & evidence

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

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

    v0.50 · Ubuntu 22.04 · CUDA 12.8 · 4096 ctx

    142.06 tok/s

    Decode

    686.26 tok/s

    Prefill

    1.49 s

    TTFT

    3.61 GB

    VRAM

    —

    MTP

    277.8 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=15 running model_id=51 at Q5_K_S