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Llama-3-8B-Instruct · Q5_K_S
NVIDIA RTX 309024GBOllama v0.51L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q5_K_S) on NVIDIA RTX 3090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
67.97 tok/s
Decode
Decode speed
263.38 tok/s
Prefill
Prefill speed
0.42 s
TTFT
Time to first token
17.22 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- Ollama · Q5_K_S (current)Decode 67.97 · Prefill 263.38 ·
- Strata · IQ3_S Decode 155.86 · Prefill 503.14 ·
- Strata · Q5_K_M Decode 101.92 · Prefill 340.28 ·
- Ollama · IQ3_S Decode 90.89 · Prefill 298.18 ·
- Ollama · Q4_K_M Decode 84.07 · Prefill 419.77 ·
- Strata · IQ4_XS Decode 126.45 · Prefill 522.82 ·
- Strata · Q3_K_M Decode 136.06 · Prefill 696.33 ·
- llama.cpp · Q8_0 Decode 84.9 · Prefill 636.8 ·
- llama.cpp · Q5_K_M Decode 123.7 · Prefill 927.8 ·
- llama.cpp · Q4_K_M Decode 149 · Prefill 1117.5 ·
Core figures
- Decode (avg)
- 67.97 tok/s
- Prefill (avg)
- 263.38 tok/s
- TTFT (avg)
- 0.42 s
- VRAM (avg)
- 17.22 GB
- MTP acceptance rate
- —
- TTFB
- 0.54 GB
- Power draw
- 320.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3-8B-Instruct
- Quantization
- Q5_K_S
- Framework
- Ollama
- Version
- v0.51
- Context length
- 16384 tokens
- Batch size
- 512
- 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 RTX 3090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 17.22 GB
- OS
- Windows 11 23H2
- Driver
- 572.83
- CUDA
- 12.8
- Power draw
- 320.4 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.51 · Windows 11 23H2 · CUDA 12.8 · 16384 ctx
67.97 tok/s
Decode
263.38 tok/s
Prefill
0.42 s
TTFT
17.22 GB
VRAM
—
MTP
320.4 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=2 running model_id=69 at Q5_K_S