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Ministral-3-8B-Instruct-2512 · Q4_K_M
NVIDIA H2097GBStrata v0.29L2 Cross-framework verified
This page aggregates 1 real-world runs of Ministral-3-8B-Instruct-2512 (Q4_K_M) on NVIDIA H20 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
73.54 tok/s
Decode
Decode speed
286.94 tok/s
Prefill
Prefill speed
1.72 s
TTFT
Time to first token
15.88 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
11 days ago
Last verified
Performance
- vLLM · Q5_K_S Decode 49.64 · Prefill 220.24 ·
- Strata · Q4_K_M (current)Decode 73.54 · Prefill 286.94 ·
Core figures
- Decode (avg)
- 73.54 tok/s
- Prefill (avg)
- 286.94 tok/s
- TTFT (avg)
- 1.72 s
- VRAM (avg)
- 15.88 GB
- MTP acceptance rate
- 0.75
- TTFB
- 0.59 GB
- Power draw
- 359.1 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Ministral-3-8B-Instruct-2512
- Quantization
- Q4_K_M
- Framework
- Strata
- Version
- v0.29
- Context length
- 65536 tokens
- Batch size
- 1024
- GPU layers
- 5
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA H20
- Nominal VRAM
- 97 GB
- Measured VRAM (avg)
- 15.88 GB
- OS
- Ubuntu 22.04
- Driver
- 572.83
- CUDA
- 12.8
- Power draw
- 359.1 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.29 · Ubuntu 22.04 · CUDA 12.8 · 65536 ctx
73.54 tok/s
Decode
286.94 tok/s
Prefill
1.72 s
TTFT
15.88 GB
VRAM
0.75
MTP
359.1 W
Power draw
L2 batch seed 2026-10-24: Strata on hw_id=56 running model_id=74 at Q4_K_M