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DeepSeek-R1-Distill-Qwen-14B · Q4_K_M

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NVIDIA RTX 309024GBvLLM 0.7.3L0 Self-reported

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q4_K_M) on NVIDIA RTX 3090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

93.6 tok/s

Decode

Decode speed

702 tok/s

Prefill

Prefill speed

0.14 s

TTFT

Time to first token

9 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · Q5_K_M Decode 76.5 · Prefill 573.8 ·
  2. vLLM · Q4_K_M (current)Decode 93.6 · Prefill 702 ·
  3. llama.cpp · Q5_K_M Decode 70.2 · Prefill 526.5 ·
  4. llama.cpp · Q4_K_M Decode 85.9 · Prefill 644.3 ·

Core figures

Decode (avg)
93.6 tok/s
Prefill (avg)
702 tok/s
TTFT (avg)
0.14 s
VRAM (avg)
9 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
Q4_K_M
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 3090
Nominal VRAM
24 GB
Measured VRAM (avg)
9 GB
OS
Linux
Driver
570.65
CUDA
12.6

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

    93.6 tok/s

    Decode

    702 tok/s

    Prefill

    0.14 s

    TTFT

    9 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算（add-500-records-batch2）