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DeepSeek-R1-Distill-Qwen-14B · Q6_K

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NVIDIA H2097GBvLLM v0.22L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (Q6_K) on NVIDIA H20 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

33.53 tok/s

Decode

Decode speed

137.11 tok/s

Prefill

Prefill speed

1.58 s

TTFT

Time to first token

31.5 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 67.98 · Prefill 225.25 ·
  2. llama.cpp · Q4_K_M Decode 42.42 · Prefill 221.34 ·
  3. vLLM · Q2_K Decode 62.74 · Prefill 220.68 ·
  4. vLLM · Q6_K (current)Decode 33.53 · Prefill 137.11 ·

Core figures

Decode (avg)
33.53 tok/s
Prefill (avg)
137.11 tok/s
TTFT (avg)
1.58 s
VRAM (avg)
31.5 GB
MTP acceptance rate
—
TTFB
0.27 GB
Power draw
382.5 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
Q6_K
Framework
vLLM
Version
v0.22
Context length
32768 tokens
Batch size
16
GPU layers
999
Flash Attention
Off

Hardware

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

GPU
NVIDIA H20
Nominal VRAM
97 GB
Measured VRAM (avg)
31.5 GB
OS
Ubuntu 24.04
Driver
572.83
CUDA
12.4
Power draw
382.5 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

    v0.22 · Ubuntu 24.04 · CUDA 12.4 · 32768 ctx

    33.53 tok/s

    Decode

    137.11 tok/s

    Prefill

    1.58 s

    TTFT

    31.5 GB

    VRAM

    —

    MTP

    382.5 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=56 running model_id=71 at Q6_K