mammoth-1 · IQ1_S
This page aggregates 1 real-world runs of mammoth-1 (IQ1_S) on NVIDIA RTX 4090 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
130.35 tok/s
Decode
Decode speed
593.51 tok/s
Prefill
Prefill speed
0.84 s
TTFT
Time to first token
22.8 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
13 days ago
Last verified
Performance
- Ollama · IQ1_S (current)Decode 130.35 · Prefill 593.51 ·
Core figures
- Decode (avg)
- 130.35 tok/s
- Prefill (avg)
- 593.51 tok/s
- TTFT (avg)
- 0.84 s
- VRAM (avg)
- 22.8 GB
- MTP acceptance rate
- —
- TTFB
- 1.04 GB
- Power draw
- 314.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- mammoth-1
- Quantization
- IQ1_S
- Framework
- Ollama
- Version
- v0.27
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 4090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 22.8 GB
- OS
- Ubuntu 22.04
- Driver
- 565.57
- CUDA
- 12.6
- Power draw
- 314.3 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 · Ubuntu 22.04 · CUDA 12.6 · 4096 ctx
130.35 tok/s
Decode
593.51 tok/s
Prefill
0.84 s
TTFT
22.8 GB
VRAM
—
MTP
314.3 W
Power draw
L2 batch seed 2026-10-22: Ollama on hw_id=1 running model_id=94 at IQ1_S