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Qwen3-1.7B · Q8_0

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NVIDIA RTX 508016GBOllama v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-1.7B (Q8_0) on NVIDIA RTX 5080 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

116.38 tok/s

Decode

Decode speed

555.86 tok/s

Prefill

Prefill speed

1.63 s

TTFT

Time to first token

6.21 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_S Decode 194.19 · Prefill 976.97 ·
  2. llama.cpp · Q8_0 Decode 121.42 · Prefill 409.38 ·
  3. Ollama · Q3_K_M Decode 198.41 · Prefill 879.72 ·
  4. Ollama · Q8_0 (current)Decode 116.38 · Prefill 555.86 ·

Core figures

Decode (avg)
116.38 tok/s
Prefill (avg)
555.86 tok/s
TTFT (avg)
1.63 s
VRAM (avg)
6.21 GB
MTP acceptance rate
—
TTFB
0.93 GB
Power draw
308.2 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-1.7B
Quantization
Q8_0
Framework
Ollama
Version
v0.41
Context length
16384 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 5080
Nominal VRAM
16 GB
Measured VRAM (avg)
6.21 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
12.8
Power draw
308.2 W

Sources & evidence

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

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

    v0.41 · Ubuntu 22.04 · CUDA 12.8 · 16384 ctx

    116.38 tok/s

    Decode

    555.86 tok/s

    Prefill

    1.63 s

    TTFT

    6.21 GB

    VRAM

    —

    MTP

    308.2 W

    Power draw

    L2 batch seed 2026-10-10: Ollama on hw_id=14 running model_id=55 at Q8_0