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Qwen3.8-27B · Q5_K_M

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NVIDIA RTX PRO 6000 Blackwell96GBllama.cpp b4200L0 Self-reported

This page aggregates 1 real-world runs of Qwen3.8-27B (Q5_K_M) on NVIDIA RTX PRO 6000 Blackwell with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

69.9 tok/s

Decode

Decode speed

524.3 tok/s

Prefill

Prefill speed

0.19 s

TTFT

Time to first token

20.5 GB

VRAM

VRAM usage

L0 Self-reported

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. vLLM · FP16 Decode 26.1 · Prefill 195.8 ·
  2. vLLM · Q8_0 Decode 52.2 · Prefill 391.5 ·
  3. vLLM · Q5_K_M Decode 76.2 · Prefill 571.5 ·
  4. llama.cpp · FP16 Decode 24 · Prefill 180 ·
  5. llama.cpp · Q8_0 Decode 47.9 · Prefill 359.3 ·
  6. llama.cpp · Q5_K_M (current)Decode 69.9 · Prefill 524.3 ·
  7. SGLang · NVFP4 Decode 171.1 · Prefill 10877.7 ·

Core figures

Decode (avg)
69.9 tok/s
Prefill (avg)
524.3 tok/s
TTFT (avg)
0.19 s
VRAM (avg)
20.5 GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-27B
Quantization
Q5_K_M
Framework
llama.cpp
Version
b4200
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX PRO 6000 Blackwell
Nominal VRAM
96 GB
Measured VRAM (avg)
20.5 GB
OS
Linux
Driver
570.65
CUDA
12.6

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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. L0 Self-reportedOtherOriginal link Verified on 2026-10-06

    b4200 · Linux · CUDA 12.6 · 4096 ctx

    69.9 tok/s

    Decode

    524.3 tok/s

    Prefill

    0.19 s

    TTFT

    20.5 GB

    VRAM

    —

    MTP

    — W

    Power draw

    L0 理论估算(add-1000-records-batch3)