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Llama-3.1-8B-Instruct · Q4_K_M
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
- llama.cpp · Q3_K_S Decode 102.17 · Prefill 424.1 ·
- llama.cpp · Q4_K_M (current)Decode 83.47 · Prefill 411.3 ·
- vLLM · Q3_K_M Decode 114.54 · Prefill 374.54 ·
- vLLM · Q4_K_M Decode 87.13 · Prefill 426.78 ·
- vLLM · IQ4_XS Decode 91.85 · Prefill 357.41 ·
- 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
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