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Llama-3.1-8B-Instruct · IQ2_XS
NVIDIA RTX 309024GBOllama v0.34L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (IQ2_XS) on NVIDIA RTX 3090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
106.45 tok/s
Decode
Decode speed
486.76 tok/s
Prefill
Prefill speed
0.8 s
TTFT
Time to first token
10.16 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · IQ3_XS Decode 111.47 · Prefill 506.1 ·
- llama.cpp · Q4_K_M Decode 116.04 · Prefill 765.01 ·
- Ollama · IQ2_XS (current)Decode 106.45 · Prefill 486.76 ·
- llama.cpp · Q8_0 Decode 84.9 · Prefill 636.8 ·
- llama.cpp · Q5_K_M Decode 123.7 · Prefill 927.8 ·
Core figures
- Decode (avg)
- 106.45 tok/s
- Prefill (avg)
- 486.76 tok/s
- TTFT (avg)
- 0.8 s
- VRAM (avg)
- 10.16 GB
- MTP acceptance rate
- —
- TTFB
- 0.85 GB
- Power draw
- 285.9 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3.1-8B-Instruct
- Quantization
- IQ2_XS
- Framework
- Ollama
- Version
- v0.34
- 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
- NVIDIA RTX 3090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 10.16 GB
- OS
- Ubuntu 24.04
- Driver
- 570.86
- CUDA
- 13.0
- Power draw
- 285.9 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.34 · Ubuntu 24.04 · CUDA 13.0 · 4096 ctx
106.45 tok/s
Decode
486.76 tok/s
Prefill
0.8 s
TTFT
10.16 GB
VRAM
—
MTP
285.9 W
Power draw
L2 batch seed 2026-10-18: Ollama on hw_id=2 running model_id=68 at IQ2_XS