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Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-arithmetic-mini__019e3b5d2482

microsoft/Phi-3.5-mini-instruct on llm.quality.arithmetic-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 8 N Ok 8 Ok Rate 1 Accuracy 0.75 Accuracy P05 0 Accuracy P50 1 Accuracy P95 1 TTFT P50 11.2417 ms Total P50 Ms 31.7159 Tokens Out Total 208 Run configuration Model: microsoft/Phi-3.5-mini-instruct @ unknown00 Engine: vllm vunknown Quantization: fp16… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-arithmetic-mini__019e3b5d2482.

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microsoft/Phi-3.5-mini-instruct on llm.quality.arithmetic-mini (NVIDIA H100 80GB HBM3)

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Headline metrics

MetricValueUnit
N Samples8
N Ok8
Ok Rate1
Accuracy0.75
Accuracy P050
Accuracy P501
Accuracy P951
TTFT P5011.2417ms
Total P50 Ms31.7159
Tokens Out Total208

Run configuration

  • —Model: microsoft/Phi-3.5-mini-instruct @ unknown00
  • —Engine: vllm vunknown
  • —Quantization: fp16
  • —Hardware: NVIDIA H100 80GB HBM3
  • —Driver: 580.126.09
  • —CUDA: 13.0
  • —Run date: 2026-05-18T13:53:40.482136+00:00
  • —Seed: 0

Verification

This result is Sigstore-signed and Rekor-logged. Verify:

bash
pip install inferencebench
bench verify hf://datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-arithmetic-mini__019e3b5d2482/envelope.json

Rekor entry: log index -1

Methodology

See the suite methodology page.

Citation

bibtex
@misc{inferencebench_019e3b5d2482,
  title = { microsoft/Phi-3.5-mini-instruct on llm.quality.arithmetic-mini },
  author = { {InferenceBench community} },
  year = { 2026 },
  url = { https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-arithmetic-mini__019e3b5d2482 },
}

Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.