Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-persona-consistency-mini__019e3b5d67aa
microsoft/Phi-3.5-mini-instruct on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 5 N Ok 5 Ok Rate 1 Persona Consistency Mean 0.96 Accuracy 0.96 Persona Consistency P50 1 Persona Consistency P95 1 Accuracy P05 0.84 Accuracy P50 1 Accuracy P95 1 Drift Rate 0.2 Mean Drift Turn 4 TTFT P50 11.6051 ms Total P50 Ms 1595.7139 Tokens Out Total… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-persona-consistency-mini__019e3b5d67aa.
microsoft/Phi-3.5-mini-instruct on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3)
Headline metrics
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: 2026-05-18T13:53:57.674964+00:00
- Seed: 0
Verification
This result is Sigstore-signed and Rekor-logged. Verify:
pip install inferencebench
bench verify hf://datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-persona-consistency-mini__019e3b5d67aa/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b5d67aa,
title = { microsoft/Phi-3.5-mini-instruct on llm.quality.persona-consistency-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-persona-consistency-mini__019e3b5d67aa },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
