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Qwen3.5-4B · IQ2_M

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NVIDIA RTX 4080 Super16GBOllama v0.27L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (IQ2_M) on NVIDIA RTX 4080 Super with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

242.65 tok/s

Decode

Decode speed

957.57 tok/s

Prefill

Prefill speed

1.07 s

TTFT

Time to first token

6.47 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. vLLM · Q4_K_S Decode 190.65 · Prefill 787.91 ·
  2. Ollama · IQ2_M (current)Decode 242.65 · Prefill 957.57 ·
  3. Ollama · Q2_K Decode 231.86 · Prefill 790.98 ·
  4. vLLM · Q5_K_M Decode 152.06 · Prefill 772.68 ·
  5. Ollama · Q3_K_L Decode 202.33 · Prefill 955.67 ·

Core figures

Decode (avg)
242.65 tok/s
Prefill (avg)
957.57 tok/s
TTFT (avg)
1.07 s
VRAM (avg)
6.47 GB
MTP acceptance rate
—
TTFB
1.94 GB
Power draw
205.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
IQ2_M
Framework
Ollama
Version
v0.27
Context length
2048 tokens
Batch size
512
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 4080 Super
Nominal VRAM
16 GB
Measured VRAM (avg)
6.47 GB
OS
Ubuntu 24.04
Driver
560.94
CUDA
12.8
Power draw
205.5 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

    v0.27 · Ubuntu 24.04 · CUDA 12.8 · 2048 ctx

    242.65 tok/s

    Decode

    957.57 tok/s

    Prefill

    1.07 s

    TTFT

    6.47 GB

    VRAM

    —

    MTP

    205.5 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=20 running model_id=48 at IQ2_M