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Qwen3.5-0.8B · Q4_K_M

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NVIDIA RTX 507012GBllama.cpp v0.51L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (Q4_K_M) on NVIDIA RTX 5070 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

186.5 tok/s

Decode

Decode speed

627.46 tok/s

Prefill

Prefill speed

0.33 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 · Q4_K_M (current)Decode 186.5 · Prefill 627.46 ·
  2. Ollama · FP16 Decode 84.08 · Prefill 290.65 ·
  3. Ollama · IQ1_S Decode 239.86 · Prefill 1174.67 ·
  4. vLLM · IQ3_XS Decode 223.3 · Prefill 1047.53 ·
  5. vLLM · IQ4_XS Decode 188.25 · Prefill 873.82 ·
  6. Ollama · Q3_K_S Decode 197.53 · Prefill 685.98 ·
  7. Ollama · Q5_K_S Decode 124.72 · Prefill 677.51 ·
  8. Strata · IQ4_XS Decode 233.02 · Prefill 915.89 ·
  9. Strata · Q6_K Decode 189.01 · Prefill 746.35 ·
  10. llama.cpp · Q8_0 Decode 582.4 · Prefill 4368 ·

Core figures

Decode (avg)
186.5 tok/s
Prefill (avg)
627.46 tok/s
TTFT (avg)
0.33 s
VRAM (avg)
3.48 GB
MTP acceptance rate
—
TTFB
1.49 GB
Power draw
223.9 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
v0.51
Context length
4096 tokens
Batch size
256
GPU layers
20
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5070
Nominal VRAM
12 GB
Measured VRAM (avg)
3.48 GB
OS
Windows 11 24H2
Driver
565.57
CUDA
13.0
Power draw
223.9 W

Sources & evidence

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

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

    v0.51 · Windows 11 24H2 · CUDA 13.0 · 4096 ctx

    186.5 tok/s

    Decode

    627.46 tok/s

    Prefill

    0.33 s

    TTFT

    3.48 GB

    VRAM

    —

    MTP

    223.9 W

    Power draw

    L2 batch seed 2026-10-18: llama.cpp on hw_id=18 running model_id=51 at Q4_K_M