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.
google/gemma-2-9b-it on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3)
Headline metrics
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:
pip install inferencebench
bench verify hf://datasets/Yobitel/google-gemma-2-9b-it__llm-quality-persona-consistency-mini__019e3b9772de/envelope.jsonMethodology
See the suite methodology page.
Citation
@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.
