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Llama-3-8B-Instruct · IQ3_S
NVIDIA RTX 508016GBOllama v0.39L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3-8B-Instruct (IQ3_S) on NVIDIA RTX 5080 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
199.24 tok/s
Decode
Decode speed
946.23 tok/s
Prefill
Prefill speed
0.15 s
TTFT
Time to first token
13.19 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- Ollama · IQ3_S (current)Decode 199.24 · Prefill 946.23 ·
- Ollama · Q3_K_S Decode 204.49 · Prefill 898.01 ·
- Strata · IQ1_S Decode 349.68 · Prefill 1703.4 ·
- Strata · Q3_K_L Decode 297.89 · Prefill 1445.32 ·
- vLLM · Q5_K_M Decode 163.66 · Prefill 702.95 ·
Core figures
- Decode (avg)
- 199.24 tok/s
- Prefill (avg)
- 946.23 tok/s
- TTFT (avg)
- 0.15 s
- VRAM (avg)
- 13.19 GB
- MTP acceptance rate
- —
- TTFB
- 1.59 GB
- Power draw
- 287.1 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3-8B-Instruct
- Quantization
- IQ3_S
- Framework
- Ollama
- Version
- v0.39
- Context length
- 32768 tokens
- Batch size
- 256
- GPU layers
- 28
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 5080
- Nominal VRAM
- 16 GB
- Measured VRAM (avg)
- 13.19 GB
- OS
- Ubuntu 24.04
- Driver
- 560.94
- CUDA
- 12.4
- Power draw
- 287.1 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.39 · Ubuntu 24.04 · CUDA 12.4 · 32768 ctx
199.24 tok/s
Decode
946.23 tok/s
Prefill
0.15 s
TTFT
13.19 GB
VRAM
—
MTP
287.1 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=14 running model_id=69 at IQ3_S