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Llama-3.1-8B-Instruct · Q4_K_M

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AMD Radeon RX 7900 XTX24GBllama.cpp v0.20L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q4_K_M) on AMD Radeon RX 7900 XTX with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

83.47 tok/s

Decode

Decode speed

411.3 tok/s

Prefill

Prefill speed

1.84 s

TTFT

Time to first token

15.88 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 · Q3_K_S Decode 102.17 · Prefill 424.1 ·
  2. llama.cpp · Q4_K_M (current)Decode 83.47 · Prefill 411.3 ·
  3. vLLM · Q3_K_M Decode 114.54 · Prefill 374.54 ·
  4. vLLM · Q4_K_M Decode 87.13 · Prefill 426.78 ·
  5. vLLM · IQ4_XS Decode 91.85 · Prefill 357.41 ·
  6. Strata · IQ4_XS Decode 138.01 · Prefill 527.22 ·

Core figures

Decode (avg)
83.47 tok/s
Prefill (avg)
411.3 tok/s
TTFT (avg)
1.84 s
VRAM (avg)
15.88 GB
MTP acceptance rate
—
TTFB
0.67 GB
Power draw
261.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3.1-8B-Instruct
Quantization
Q4_K_M
Framework
llama.cpp
Version
v0.20
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
AMD Radeon RX 7900 XTX
Nominal VRAM
24 GB
Measured VRAM (avg)
15.88 GB
OS
Ubuntu 22.04
Driver
amdgpu 6.12
CUDA
12.4
Power draw
261.7 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

    v0.20 · Ubuntu 22.04 · CUDA 12.4 · 4096 ctx

    83.47 tok/s

    Decode

    411.3 tok/s

    Prefill

    1.84 s

    TTFT

    15.88 GB

    VRAM

    —

    MTP

    261.7 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=11 running model_id=68 at Q4_K_M