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DeepSeek-R1-Distill-Qwen-14B · IQ2_M

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NVIDIA RTX 408016GBOllama v0.49L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (IQ2_M) on NVIDIA RTX 4080 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

163.57 tok/s

Decode

Decode speed

753.22 tok/s

Prefill

Prefill speed

0.62 s

TTFT

Time to first token

15.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. Ollama · IQ2_M (current)Decode 163.57 · Prefill 753.22 ·

Core figures

Decode (avg)
163.57 tok/s
Prefill (avg)
753.22 tok/s
TTFT (avg)
0.62 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
1.31 GB
Power draw
258.5 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
IQ2_M
Framework
Ollama
Version
v0.49
Context length
32768 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 4080
Nominal VRAM
16 GB
Measured VRAM (avg)
15.2 GB
OS
Ubuntu 22.04
Driver
570.86
CUDA
13.0
Power draw
258.5 W

Sources & evidence

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

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

    v0.49 · Ubuntu 22.04 · CUDA 13.0 · 32768 ctx

    163.57 tok/s

    Decode

    753.22 tok/s

    Prefill

    0.62 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    258.5 W

    Power draw

    L2 batch seed 2026-10-18: Ollama on hw_id=41 running model_id=71 at IQ2_M