Llama-3.1-8B-Instruct · Q5_K_M
This page aggregates 1 real-world runs of Llama-3.1-8B-Instruct (Q5_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
46.73 tok/s
Decode
Decode speed
200.62 tok/s
Prefill
Prefill speed
2.34 s
TTFT
Time to first token
17.72 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q4_K_M Decode 53.5 · Prefill 208.91 ·
- llama.cpp · Q5_K_M (current)Decode 46.73 · Prefill 200.62 ·
- llama.cpp · Q8_0 Decode 35.36 · Prefill 182.04 ·
- Ollama · FP16 Decode 27.91 · Prefill 99.5 ·
- Ollama · Q6_K Decode 40.65 · Prefill 194.34 ·
- Ollama · Q8_0 Decode 37 · Prefill 131.55 ·
- llama.cpp · IQ1_S Decode 80.81 · Prefill 288.05 ·
- Ollama · Q4_K_M Decode 51.59 · Prefill 267.45 ·
- Ollama · Q5_K_S Decode 48.77 · Prefill 206.68 ·
Core figures
- Decode (avg)
- 46.73 tok/s
- Prefill (avg)
- 200.62 tok/s
- TTFT (avg)
- 2.34 s
- VRAM (avg)
- 17.72 GB
- MTP acceptance rate
- —
- TTFB
- 0.37 GB
- Power draw
- 77.9 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Llama-3.1-8B-Instruct
- Quantization
- Q5_K_M
- Framework
- llama.cpp
- Version
- v0.25
- Context length
- 8192 tokens
- Batch size
- 256
- GPU layers
- 33
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX Spark
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 17.72 GB
- OS
- Ubuntu 24.04
- Driver
- 615.78
- CUDA
- 13.0
- Power draw
- 77.9 W
- Reference price
- $2,399 · updated 2026-10-19
Prices are not live; check the store page
Sources & evidence
1 measured records in total, each traceable to its original source
v0.25 · Ubuntu 24.04 · CUDA 13.0 · 8192 ctx
46.73 tok/s
Decode
200.62 tok/s
Prefill
2.34 s
TTFT
17.72 GB
VRAM
—
MTP
77.9 W
Power draw
L2 batch seed 2026-10-20 (Linux 116GiB unlock): llama.cpp on Spark running model_id=68 at Q5_K_M