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DeepSeek-R1-Distill-Qwen-14B · Q5_K_M

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NVIDIA RTX 509032GBllama.cpp b4200L0 Self-reported

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q5_K_M) on NVIDIA RTX 5090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

134.4 tok/s

Decode

Decode speed

1,008 tok/s

Prefill

Prefill speed

0.1 s

TTFT

Time to first token

10.9 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 146.5 · Prefill 1098.8 ·
  2. vLLM · Q4_K_M Decode 179.2 · Prefill 1344 ·
  3. llama.cpp · Q5_K_M (current)Decode 134.4 · Prefill 1008 ·
  4. llama.cpp · Q4_K_M Decode 164.4 · Prefill 1233 ·

Core figures

Decode (avg)
134.4 tok/s
Prefill (avg)
1,008 tok/s
TTFT (avg)
0.1 s
VRAM (avg)
10.9 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
Q5_K_M
Framework
llama.cpp
Version
b4200
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 5090
Nominal VRAM
32 GB
Measured VRAM (avg)
10.9 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

    b4200 · Linux · CUDA 12.6 · 4096 ctx

    134.4 tok/s

    Decode

    1,008 tok/s

    Prefill

    0.1 s

    TTFT

    10.9 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算（add-500-records-batch2）