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DeepSeek-R1-Distill-Qwen-14B · IQ2_XS

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NVIDIA RTX 508016GBllama.cpp v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (IQ2_XS) on NVIDIA RTX 5080 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

202.82 tok/s

Decode

Decode speed

808.1 tok/s

Prefill

Prefill speed

1.06 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. llama.cpp · IQ2_XS (current)Decode 202.82 · Prefill 808.1 ·

Core figures

Decode (avg)
202.82 tok/s
Prefill (avg)
808.1 tok/s
TTFT (avg)
1.06 s
VRAM (avg)
15.2 GB
MTP acceptance rate
—
TTFB
1.62 GB
Power draw
207.9 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
IQ2_XS
Framework
llama.cpp
Version
v0.41
Context length
4096 tokens
Batch size
256
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 5080
Nominal VRAM
16 GB
Measured VRAM (avg)
15.2 GB
OS
Windows 11 24H2
Driver
565.57
CUDA
12.8
Power draw
207.9 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

    v0.41 · Windows 11 24H2 · CUDA 12.8 · 4096 ctx

    202.82 tok/s

    Decode

    808.1 tok/s

    Prefill

    1.06 s

    TTFT

    15.2 GB

    VRAM

    —

    MTP

    207.9 W

    Power draw

    L2 batch seed 2026-10-18: llama.cpp on hw_id=14 running model_id=71 at IQ2_XS