MiniMax-M3 · IQ4_XS
This page aggregates 1 real-world runs of MiniMax-M3 (IQ4_XS) on NVIDIA RTX 5070 SUPER with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
3.3 tok/s
Decode
Decode speed
24.8 tok/s
Prefill
Prefill speed
4.03 s
TTFT
Time to first token
18 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- SGLang · IQ4_XS Decode 3.2 · Prefill 24 ·
- SGLang · IQ3_S Decode 4.2 · Prefill 31.5 ·
- vLLM · IQ4_XS (current)Decode 3.3 · Prefill 24.8 ·
- vLLM · IQ3_S Decode 4.4 · Prefill 33 ·
Core figures
- Decode (avg)
- 3.3 tok/s
- Prefill (avg)
- 24.8 tok/s
- TTFT (avg)
- 4.03 s
- VRAM (avg)
- 18 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- MiniMax-M3
- Quantization
- IQ4_XS
- 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 5070 SUPER
- Nominal VRAM
- 18 GB
- Measured VRAM (avg)
- 18 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
3.3 tok/s
Decode
24.8 tok/s
Prefill
4.03 s
TTFT
18 GB
VRAM
—
MTP
— W
Power draw
L0 理论估算（add-500-records-batch2）