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Llama-3.1-8B-Instruct · Q5_K_M
NVIDIA RTX 4080 Super16GBStrata v0.39L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q5_K_M) on NVIDIA RTX 4080 Super with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
179.72 tok/s
Decode
Decode speed
584.63 tok/s
Prefill
Prefill speed
2.5 s
TTFT
Time to first token
15.2 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_M Decode 201.4 · Prefill 1061.69 ·
- Strata · IQ2_XS Decode 307.75 · Prefill 1104.97 ·
- Strata · Q5_K_M (current)Decode 179.72 · Prefill 584.63 ·
- vLLM · IQ2_M Decode 224.52 · Prefill 1147.46 ·
- vLLM · Q3_K_L Decode 177.01 · Prefill 908.47 ·
- Ollama · IQ2_M Decode 204.79 · Prefill 1109.54 ·
Core figures
- Decode (avg)
- 179.72 tok/s
- Prefill (avg)
- 584.63 tok/s
- TTFT (avg)
- 2.5 s
- VRAM (avg)
- 15.2 GB
- MTP acceptance rate
- 0.77
- TTFB
- 1.44 GB
- Power draw
- 226.5 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3.1-8B-Instruct
- Quantization
- Q5_K_M
- Framework
- Strata
- Version
- v0.39
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 5
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 4080 Super
- Nominal VRAM
- 16 GB
- Measured VRAM (avg)
- 15.2 GB
- OS
- Ubuntu 24.04
- Driver
- 570.86
- CUDA
- 12.8
- Power draw
- 226.5 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.39 · Ubuntu 24.04 · CUDA 12.8 · 4096 ctx
179.72 tok/s
Decode
584.63 tok/s
Prefill
2.5 s
TTFT
15.2 GB
VRAM
0.77
MTP
226.5 W
Power draw
L2 batch seed 2026-10-19: Strata on hw_id=20 running model_id=68 at Q5_K_M