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DeepSeek-R1-Distill-Qwen-14B · IQ2_XS

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NVIDIA H100 80GB HBM380GBOllama v0.40L2 Cross-framework verified

This page aggregates 1 real-world runs of DeepSeek-R1-Distill-Qwen-14B (IQ2_XS) on NVIDIA H100 80GB HBM3 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

291.58 tok/s

Decode

Decode speed

1,457.4 tok/s

Prefill

Prefill speed

2.21 s

TTFT

Time to first token

16.21 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. vLLM · IQ4_XS Decode 398.24 · Prefill 1414.76 ·
  2. vLLM · Q5_K_S Decode 364.79 · Prefill 1787.53 ·
  3. Ollama · IQ2_XS (current)Decode 291.58 · Prefill 1457.4 ·
  4. Ollama · IQ3_XS Decode 340.5 · Prefill 1221.18 ·

Core figures

Decode (avg)
291.58 tok/s
Prefill (avg)
1,457.4 tok/s
TTFT (avg)
2.21 s
VRAM (avg)
16.21 GB
MTP acceptance rate
—
TTFB
2.33 GB
Power draw
601.5 W

Configuration

Member-level fields are taken from the most recent run

Model
DeepSeek-R1-Distill-Qwen-14B
Quantization
IQ2_XS
Framework
Ollama
Version
v0.40
Context length
4096 tokens
Batch size
512
GPU layers
20
Flash Attention
On

Hardware

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

GPU
NVIDIA H100 80GB HBM3
Nominal VRAM
80 GB
Measured VRAM (avg)
16.21 GB
OS
Ubuntu 24.04
Driver
565.57
CUDA
12.8
Power draw
601.5 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

    v0.40 · Ubuntu 24.04 · CUDA 12.8 · 4096 ctx

    291.58 tok/s

    Decode

    1,457.4 tok/s

    Prefill

    2.21 s

    TTFT

    16.21 GB

    VRAM

    —

    MTP

    601.5 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=55 running model_id=71 at IQ2_XS