elephant-1 · Q5_K_S
This page aggregates 1 real-world runs of elephant-1 (Q5_K_S) on NVIDIA RTX 5090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
174.79 tok/s
Decode
Decode speed
860.94 tok/s
Prefill
Prefill speed
0.23 s
TTFT
Time to first token
19.11 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
13 days ago
Last verified
Performance
- llama.cpp · Q4_K_S Decode 219.01 · Prefill 766.77 ·
- Ollama · Q5_K_S (current)Decode 174.79 · Prefill 860.94 ·
- Ollama · Q8_0 Decode 138.97 · Prefill 570.96 ·
Core figures
- Decode (avg)
- 174.79 tok/s
- Prefill (avg)
- 860.94 tok/s
- TTFT (avg)
- 0.23 s
- VRAM (avg)
- 19.11 GB
- MTP acceptance rate
- —
- TTFB
- 1.4 GB
- Power draw
- 378.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- elephant-1
- Quantization
- Q5_K_S
- Framework
- Ollama
- Version
- v0.27
- Context length
- 4096 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 5090
- Nominal VRAM
- 32 GB
- Measured VRAM (avg)
- 19.11 GB
- OS
- Windows 11 24H2
- Driver
- 572.83
- CUDA
- 12.6
- Power draw
- 378.4 W
Get started
Original model resources
Base model resources may not match this quantization. Use the verified deployment weights above when available.
Sources & evidence
1 measured records in total, each traceable to its original source
v0.27 · Windows 11 24H2 · CUDA 12.6 · 4096 ctx
174.79 tok/s
Decode
860.94 tok/s
Prefill
0.23 s
TTFT
19.11 GB
VRAM
—
MTP
378.4 W
Power draw
L2 batch seed 2026-10-22: Ollama on hw_id=13 running model_id=95 at Q5_K_S