MiniMax-M3 · IQ3_S
This page aggregates 1 real-world runs of MiniMax-M3 (IQ3_S) on NVIDIA RTX 4090 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
5 tok/s
Decode
Decode speed
37.5 tok/s
Prefill
Prefill speed
2.67 s
TTFT
Time to first token
24 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- SGLang · IQ4_XS Decode 3.6 · Prefill 27 ·
- SGLang · IQ3_S Decode 4.8 · Prefill 36 ·
- vLLM · IQ4_XS Decode 3.7 · Prefill 27.8 ·
- vLLM · IQ3_S (current)Decode 5 · Prefill 37.5 ·
Core figures
- Decode (avg)
- 5 tok/s
- Prefill (avg)
- 37.5 tok/s
- TTFT (avg)
- 2.67 s
- VRAM (avg)
- 24 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- MiniMax-M3
- Quantization
- IQ3_S
- Framework
- vLLM
- Version
- 0.7.3
- 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 4090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 24 GB
- OS
- Linux
- Driver
- 570.65
- CUDA
- 12.6
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
0.7.3 · Linux · CUDA 12.6 · 4096 ctx
5 tok/s
Decode
37.5 tok/s
Prefill
2.67 s
TTFT
24 GB
VRAM
—
MTP
— W
Power draw
L0 理论估算（add-500-records-batch2）