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Llama-3-8B-Instruct · IQ3_S
NVIDIA RTX 309024GBStrata v0.30L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3-8B-Instruct (IQ3_S) on NVIDIA RTX 3090 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
155.86 tok/s
Decode
Decode speed
503.14 tok/s
Prefill
Prefill speed
1.78 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
16 days ago
Last verified
Performance
- Ollama · Q5_K_S Decode 67.97 · Prefill 263.38 ·
- Strata · IQ3_S (current)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)
- 155.86 tok/s
- Prefill (avg)
- 503.14 tok/s
- TTFT (avg)
- 1.78 s
- VRAM (avg)
- 13.19 GB
- MTP acceptance rate
- 0.73
- TTFB
- 1.25 GB
- Power draw
- 267.1 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3-8B-Instruct
- Quantization
- IQ3_S
- Framework
- Strata
- Version
- v0.30
- Context length
- 2048 tokens
- Batch size
- 512
- GPU layers
- 12
- Flash Attention
- Off
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)
- 13.19 GB
- OS
- Windows 11 23H2
- Driver
- 565.57
- CUDA
- 12.4
- Power draw
- 267.1 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.30 · Windows 11 23H2 · CUDA 12.4 · 2048 ctx
155.86 tok/s
Decode
503.14 tok/s
Prefill
1.78 s
TTFT
13.19 GB
VRAM
0.73
MTP
267.1 W
Power draw
L2 batch seed 2026-10-19: Strata on hw_id=2 running model_id=69 at IQ3_S