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DeepSeek-R1-Distill-Qwen-14B · IQ1_S

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NVIDIA RTX 509032GBllama.cpp v0.34L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (IQ1_S) on NVIDIA RTX 5090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

313.16 tok/s

Decode

Decode speed

1,103.72 tok/s

Prefill

Prefill speed

1.14 s

TTFT

Time to first token

14.45 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ1_S (current)Decode 313.16 · Prefill 1103.72 ·
  2. vLLM · IQ3_XS Decode 290.25 · Prefill 1286.52 ·
  3. vLLM · Q5_K_S Decode 193.3 · Prefill 1031.83 ·
  4. vLLM · Q5_K_M Decode 146.5 · Prefill 1098.8 ·
  5. vLLM · Q4_K_M Decode 179.2 · Prefill 1344 ·
  6. llama.cpp · Q5_K_M Decode 134.4 · Prefill 1008 ·
  7. llama.cpp · Q4_K_M Decode 164.4 · Prefill 1233 ·

Core figures

Decode (avg)
313.16 tok/s
Prefill (avg)
1,103.72 tok/s
TTFT (avg)
1.14 s
VRAM (avg)
14.45 GB
MTP acceptance rate
—
TTFB
2.51 GB
Power draw
465.4 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
IQ1_S
Framework
llama.cpp
Version
v0.34
Context length
32768 tokens
Batch size
256
GPU layers
33
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)
14.45 GB
OS
Windows 11 23H2
Driver
572.83
CUDA
12.8
Power draw
465.4 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

    v0.34 · Windows 11 23H2 · CUDA 12.8 · 32768 ctx

    313.16 tok/s

    Decode

    1,103.72 tok/s

    Prefill

    1.14 s

    TTFT

    14.45 GB

    VRAM

    —

    MTP

    465.4 W

    Power draw

    L2 batch seed 2026-10-18: llama.cpp on hw_id=13 running model_id=71 at IQ1_S