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Hy-Memory-30B-A3B · Q6_K

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NVIDIA H100 80GB HBM380GBllama.cpp v0.25L2 Cross-framework verified

This page aggregates 1 real-world runs of Hy-Memory-30B-A3B (Q6_K) on NVIDIA H100 80GB HBM3 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

289.84 tok/s

Decode

Decode speed

1,568.48 tok/s

Prefill

Prefill speed

1.64 s

TTFT

Time to first token

65.1 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 · Q6_K (current)Decode 289.84 · Prefill 1568.48 ·
  2. vLLM · IQ2_XS Decode 346.16 · Prefill 1601.93 ·
  3. vLLM · Q5_K_M Decode 299.81 · Prefill 1193.35 ·

Core figures

Decode (avg)
289.84 tok/s
Prefill (avg)
1,568.48 tok/s
TTFT (avg)
1.64 s
VRAM (avg)
65.1 GB
MTP acceptance rate
—
TTFB
2.32 GB
Power draw
625.4 W

Configuration

Member-level fields are taken from the most recent run

Model
Hy-Memory-30B-A3B
Quantization
Q6_K
Framework
llama.cpp
Version
v0.25
Context length
2048 tokens
Batch size
256
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)
65.1 GB
OS
Ubuntu 24.04
Driver
570.86
CUDA
13.0
Power draw
625.4 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

    v0.25 · Ubuntu 24.04 · CUDA 13.0 · 2048 ctx

    289.84 tok/s

    Decode

    1,568.48 tok/s

    Prefill

    1.64 s

    TTFT

    65.1 GB

    VRAM

    —

    MTP

    625.4 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=55 running model_id=87 at Q6_K