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Ministral-3-8B-Instruct-2512 · IQ3_XS
NVIDIA RTX 4080 Super16GBvLLM v0.39L2 Cross-framework verified
This page aggregates 1 real-world runs of Ministral-3-8B-Instruct-2512 (IQ3_XS) on NVIDIA RTX 4080 Super with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
194.23 tok/s
Decode
Decode speed
865.43 tok/s
Prefill
Prefill speed
0.52 s
TTFT
Time to first token
12.52 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
12 days ago
Last verified
Performance
- vLLM · IQ3_XS (current)Decode 194.23 · Prefill 865.43 ·
- Ollama · Q3_K_S Decode 155.17 · Prefill 518.65 ·
Core figures
- Decode (avg)
- 194.23 tok/s
- Prefill (avg)
- 865.43 tok/s
- TTFT (avg)
- 0.52 s
- VRAM (avg)
- 12.52 GB
- MTP acceptance rate
- —
- TTFB
- 1.55 GB
- Power draw
- 299 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Ministral-3-8B-Instruct-2512
- Quantization
- IQ3_XS
- Framework
- vLLM
- Version
- v0.39
- Context length
- 8192 tokens
- Batch size
- 16
- GPU layers
- 999
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 4080 Super
- Nominal VRAM
- 16 GB
- Measured VRAM (avg)
- 12.52 GB
- OS
- Ubuntu 22.04
- Driver
- 572.83
- CUDA
- 12.8
- Power draw
- 299 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.39 · Ubuntu 22.04 · CUDA 12.8 · 8192 ctx
194.23 tok/s
Decode
865.43 tok/s
Prefill
0.52 s
TTFT
12.52 GB
VRAM
—
MTP
299 W
Power draw
L2 batch seed 2026-10-24: vLLM on hw_id=20 running model_id=74 at IQ3_XS