Datasetpublic

Yobitel/microsoft-phi-3-5-mini-instructcode-generation-humaneval-mini019e3b5d8c8b

microsoft/Phi-3.5-mini-instruct on code.generation.humaneval-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 5 N Ok 5 Ok Rate 1 Pass At 1 1 Pass At 1 P05 1 Pass At 1 P50 1 Pass At 1 P95 1 Timeout Rate 0 TTFT P50 12.396 ms Total P50 Ms 974.8963 Tokens Out Total 1166 Run configuration Model: microsoft/Phi-3.5-mini-instruct @ unknown00 Engine: vllm vunknown… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__code-generation-humaneval-mini__019e3b5d8c8b.

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microsoft/Phi-3.5-mini-instruct on code.generation.humaneval-mini (NVIDIA H100 80GB HBM3)

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Headline metrics

Metric	Value	Unit
N Samples	5
N Ok	5
Ok Rate	1
Pass At 1	1
Pass At 1 P05	1
Pass At 1 P50	1
Pass At 1 P95	1
Timeout Rate	0
TTFT P50	12.396	ms
Total P50 Ms	974.8963
Tokens Out Total	1166

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: 2026-05-18T13:54:07.115761+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__code-generation-humaneval-mini__019e3b5d8c8b/envelope.json

Rekor entry: log index -1

Methodology

See the suite methodology page.

Citation

bibtex

@misc{inferencebench_019e3b5d8c8b,
  title = { microsoft/Phi-3.5-mini-instruct on code.generation.humaneval-mini },
  author = { {InferenceBench community} },
  year = { 2026 },
  url = { https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__code-generation-humaneval-mini__019e3b5d8c8b },
}

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