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Yobitel/google-gemma-2-9b-it__llm-quality-persona-consistency-mini__019e3b9772de

google/gemma-2-9b-it on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 5 N Ok 0 Ok Rate 0 Run configuration Model: google/gemma-2-9b-it @ unknown00 Engine: vllm vunknown Quantization: fp16 Hardware: NVIDIA H100 80GB HBM3 Driver: 580.126.09 CUDA: 13.0 Run date: 2026-05-18T14:57:21.631007+00:00 Seed: 0 Verification This result is… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/google-gemma-2-9b-it__llm-quality-persona-consistency-mini__019e3b9772de.

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google/gemma-2-9b-it on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3)

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Headline metrics

MetricValueUnit
N Samples5
N Ok0
Ok Rate0

Run configuration

  • —Model: google/gemma-2-9b-it @ unknown00
  • —Engine: vllm vunknown
  • —Quantization: fp16
  • —Hardware: NVIDIA H100 80GB HBM3
  • —Driver: 580.126.09
  • —CUDA: 13.0
  • —Run date: 2026-05-18T14:57:21.631007+00:00
  • —Seed: 0

Verification

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

bash
pip install inferencebench
bench verify hf://datasets/Yobitel/google-gemma-2-9b-it__llm-quality-persona-consistency-mini__019e3b9772de/envelope.json

Rekor entry: log index -1

Methodology

See the suite methodology page.

Citation

bibtex
@misc{inferencebench_019e3b9772de,
  title = { google/gemma-2-9b-it on llm.quality.persona-consistency-mini },
  author = { {InferenceBench community} },
  year = { 2026 },
  url = { https://huggingface.co/datasets/Yobitel/google-gemma-2-9b-it__llm-quality-persona-consistency-mini__019e3b9772de },
}

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