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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ size_categories:
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+ - n<1K
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - benchmark
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+ - inferencebench
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+ - llm
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+ - microsoft
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+ - h100
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+ inferencebench:
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+ envelope_version: v1
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+ suite_id: llm.quality.factual-mini
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+ suite_version: 1.0.0
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+ model: microsoft/Phi-3.5-mini-instruct
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+ engine: vllm
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+ hardware_class: h100
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+ fingerprint_sha256: 550474fc9132129654f5d20c316eaffec99a1f67c0cc0b4641e60efb46ea79e7
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+ signature_verified: false
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+ rekor_log_index: -1
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+ ---
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+
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+ # microsoft/Phi-3.5-mini-instruct on llm.quality.factual-mini (NVIDIA H100 80GB HBM3)
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+
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+ [Back to leaderboard](https://huggingface.co/spaces/yobitel/leaderboard-llm.quality.factual-mini)
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+
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+ ## Headline metrics
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+
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+ | Metric | Value | Unit |
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+ |---|---|---|
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+ | N Samples | 10 | |
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+ | N Ok | 10 | |
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+ | Ok Rate | 1 | |
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+ | Accuracy | 1 | |
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+ | Accuracy P05 | 1 | |
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+ | Accuracy P50 | 1 | |
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+ | Accuracy P95 | 1 | |
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+ | TTFT P50 | 11.2101 | ms |
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+ | Total P50 Ms | 499.6194 | |
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+ | Tokens Out Total | 943 | |
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+
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+ ## Run configuration
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+
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+ - **Model**: microsoft/Phi-3.5-mini-instruct @ unknown00
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+ - **Engine**: vllm vunknown
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+ - **Quantization**: fp16
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+ - **Hardware**: NVIDIA H100 80GB HBM3
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+ - **Driver**: 580.126.09
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+ - **CUDA**: 13.0
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+ - **Run date**: 2026-05-18T13:53:35.606289+00:00
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+ - **Seed**: 0
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+
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+ ## Verification
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+
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+ This result is Sigstore-signed and Rekor-logged. Verify:
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+
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+ ```bash
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+ pip install inferencebench
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+ bench verify hf://datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-factual-mini__019e3b5d1176/envelope.json
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+ ```
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+
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+ [Rekor entry: log index -1](https://search.sigstore.dev/?logIndex=-1)
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+
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+ ## Methodology
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+
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+ See [the suite methodology page](https://yobitelcomm.github.io/bench/suites/llm.quality.factual-mini).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{inferencebench_019e3b5d1176,
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+ title = { microsoft/Phi-3.5-mini-instruct on llm.quality.factual-mini },
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+ author = { {InferenceBench community} },
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+ year = { 2026 },
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+ url = { https://huggingface.co/datasets/Yobitel/microsoft-phi-3-5-mini-instruct__llm-quality-factual-mini__019e3b5d1176 },
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+ }
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+ ```
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+
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+ ---
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+
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+ *Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.*