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DeepSeek-V4-Flash · UD-IQ2_XXS

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2x NVIDIA RTX 509064GBllama.cpp b10236L0 Self-reported

This page aggregates 1 real-world runs of DeepSeek-V4-Flash (UD-IQ2_XXS) on 2x NVIDIA RTX 5090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

19.39 tok/s

Decode

Decode speed

692.41 tok/s

Prefill

Prefill speed

0.12 s

TTFT

Time to first token

51.17 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

GitHub

Source platforms

2026-09-27

Last verified

Performance

  1. llama.cpp · UD-IQ2_XXS (current)Decode 19.39 · Prefill 692.41 ·

Core figures

Decode (avg)
19.39 tok/s
Prefill (avg)
692.41 tok/s
TTFT (avg)
0.12 s
VRAM (avg)
51.17 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-V4-Flash
Quantization
UD-IQ2_XXS
Framework
llama.cpp
Version
b10236
Context length
204800 tokens
GPU layers
99

Hardware

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

GPU
2x NVIDIA RTX 5090
Nominal VRAM
64 GB
Measured VRAM (avg)
51.17 GB
OS
Ubuntu 24.04.4 LTS
Driver
610.43.03
CUDA
13.3

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

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

  1. L0 Self-reportedGitHubOriginal link Verified on 2026-09-27

    b10236 · Ubuntu 24.04.4 LTS · CUDA 13.3 · 204800 ctx

    19.39 tok/s

    Decode

    692.41 tok/s

    Prefill

    0.12 s

    TTFT

    51.17 GB

    VRAM

    —

    MTP

    — W

    Power draw

    2×5090 +9950X3D/123GiB RAM,DeepSeek-V4-Flash-0731 IQ2_XXS,专家CPU卸载+DSpark。narrative均值19.39t/s,短prompt TTFT117ms;9980tok prefill692.41t/s;bench峰值52398MiB≈51.17GiB。415W仅末尾瞬时双卡读数之和,不代表测试平均功耗,已置空。