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Qwen3.8-27B · Q2_K

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NVIDIA H2097GBStrata v0.36L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-27B (Q2_K) on NVIDIA H20 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

52.83 tok/s

Decode

Decode speed

205.52 tok/s

Prefill

Prefill speed

0.9 s

TTFT

Time to first token

33.29 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 · IQ2_XS Decode 42.1 · Prefill 229.32 ·
  2. Strata · Q2_K (current)Decode 52.83 · Prefill 205.52 ·
  3. Strata · Q4_K_M Decode 39.14 · Prefill 148.55 ·

Core figures

Decode (avg)
52.83 tok/s
Prefill (avg)
205.52 tok/s
TTFT (avg)
0.9 s
VRAM (avg)
33.29 GB
MTP acceptance rate
0.61
TTFB
0.42 GB
Power draw
306.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-27B
Quantization
Q2_K
Framework
Strata
Version
v0.36
Context length
8192 tokens
Batch size
1024
GPU layers
8
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)
33.29 GB
OS
Windows 11 24H2
Driver
570.86
CUDA
12.4
Power draw
306.9 W

Get started

Original model resources

Base model resources may not match this quantization. Use the verified deployment weights above when available.

Sources & evidence

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

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

    v0.36 · Windows 11 24H2 · CUDA 12.4 · 8192 ctx

    52.83 tok/s

    Decode

    205.52 tok/s

    Prefill

    0.9 s

    TTFT

    33.29 GB

    VRAM

    0.61

    MTP

    306.9 W

    Power draw

    L2 batch seed 2026-10-19: Strata on hw_id=56 running model_id=5 at Q2_K