Back to search results
Llama-3-8B-Instruct · Q3_K_M
NVIDIA RTX PRO 6000 Blackwell 96GB96GBOllama v0.38L2 Cross-framework verified
This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q3_K_M) on NVIDIA RTX PRO 6000 Blackwell 96GB with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
249.19 tok/s
Decode
Decode speed
1,206.14 tok/s
Prefill
Prefill speed
1.82 s
TTFT
Time to first token
13.52 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
17 days ago
Last verified
Performance
- llama.cpp · IQ2_M Decode 345.66 · Prefill 1718.2 ·
- llama.cpp · Q5_K_M Decode 194.41 · Prefill 877.5 ·
- Ollama · Q3_K_M (current)Decode 249.19 · Prefill 1206.14 ·
- Ollama · Q6_K Decode 185.73 · Prefill 814.54 ·
Core figures
- Decode (avg)
- 249.19 tok/s
- Prefill (avg)
- 1,206.14 tok/s
- TTFT (avg)
- 1.82 s
- VRAM (avg)
- 13.52 GB
- MTP acceptance rate
- —
- TTFB
- 1.99 GB
- Power draw
- 323.7 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3-8B-Instruct
- Quantization
- Q3_K_M
- Framework
- Ollama
- Version
- v0.38
- Context length
- 2048 tokens
- Batch size
- 256
- 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 PRO 6000 Blackwell 96GB
- Nominal VRAM
- 96 GB
- Measured VRAM (avg)
- 13.52 GB
- OS
- Ubuntu 22.04
- Driver
- 570.86
- CUDA
- 12.4
- Power draw
- 323.7 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.38 · Ubuntu 22.04 · CUDA 12.4 · 2048 ctx
249.19 tok/s
Decode
1,206.14 tok/s
Prefill
1.82 s
TTFT
13.52 GB
VRAM
—
MTP
323.7 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=68 running model_id=69 at Q3_K_M