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DeepSeek-R1-Distill-Qwen-14B · Q3_K_M

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NVIDIA RTX 309024GBvLLM v0.31L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q3_K_M) on NVIDIA RTX 3090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

80.11 tok/s

Decode

Decode speed

318.86 tok/s

Prefill

Prefill speed

0.68 s

TTFT

Time to first token

22.09 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · IQ4_XS Decode 79.26 · Prefill 346.57 ·
  2. llama.cpp · Q3_K_M Decode 75.68 · Prefill 415.45 ·
  3. vLLM · Q3_K_M (current)Decode 80.11 · Prefill 318.86 ·
  4. vLLM · Q2_K Decode 95.91 · Prefill 524.52 ·
  5. Ollama · IQ4_XS Decode 73.36 · Prefill 312.95 ·
  6. vLLM · Q5_K_M Decode 76.5 · Prefill 573.8 ·
  7. vLLM · Q4_K_M Decode 93.6 · Prefill 702 ·
  8. llama.cpp · Q5_K_M Decode 70.2 · Prefill 526.5 ·
  9. llama.cpp · Q4_K_M Decode 85.9 · Prefill 644.3 ·

Core figures

Decode (avg)
80.11 tok/s
Prefill (avg)
318.86 tok/s
TTFT (avg)
0.68 s
VRAM (avg)
22.09 GB
MTP acceptance rate
—
TTFB
0.64 GB
Power draw
336.2 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
Q3_K_M
Framework
vLLM
Version
v0.31
Context length
8192 tokens
Batch size
16
GPU layers
999
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)
22.09 GB
OS
Windows 11 23H2
Driver
560.94
CUDA
12.4
Power draw
336.2 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.31 · Windows 11 23H2 · CUDA 12.4 · 8192 ctx

    80.11 tok/s

    Decode

    318.86 tok/s

    Prefill

    0.68 s

    TTFT

    22.09 GB

    VRAM

    —

    MTP

    336.2 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=2 running model_id=71 at Q3_K_M