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DeepSeek-V4.1-Flash · IQ2_XS

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NVIDIA RTX PRO 5000 Blackwell48GBvLLM 0.7.3L0 Self-reported

This page aggregates 1 real-world runs of DeepSeek-V4.1-Flash (IQ2_XS) on NVIDIA RTX PRO 5000 Blackwell with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

4.4 tok/s

Decode

Decode speed

33 tok/s

Prefill

Prefill speed

3.03 s

TTFT

Time to first token

48 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. SGLang · IQ2_XS Decode 4.3 · Prefill 32.3 ·
  2. SGLang · IQ3_S Decode 3.6 · Prefill 27 ·
  3. vLLM · IQ2_XS (current)Decode 4.4 · Prefill 33 ·
  4. vLLM · IQ3_S Decode 3.7 · Prefill 27.8 ·

Core figures

Decode (avg)
4.4 tok/s
Prefill (avg)
33 tok/s
TTFT (avg)
3.03 s
VRAM (avg)
48 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-V4.1-Flash
Quantization
IQ2_XS
Framework
vLLM
Version
0.7.3
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX PRO 5000 Blackwell
Nominal VRAM
48 GB
Measured VRAM (avg)
48 GB
OS
Linux
Driver
570.65
CUDA
12.6

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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-reportedOtherOriginal link Verified on 2026-10-06

    0.7.3 · Linux · CUDA 12.6 · 4096 ctx

    4.4 tok/s

    Decode

    33 tok/s

    Prefill

    3.03 s

    TTFT

    48 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算(add-500-records-batch2)