Yobitel/meta-llama-llama-3-1-70b-instruct__llm-quality-persona-consistency-mini__019e3b92bf6e
meta-llama/Llama-3.1-70B-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 1 Accuracy 1 Persona Consistency P50 1 Persona Consistency P95 1 Accuracy P05 1 Accuracy P50 1 Accuracy P95 1 Drift Rate 0 TTFT P50 33.4535 ms Total P50 Ms 8591.7979 Tokens Out Total 1861 Run… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-quality-persona-consistency-mini__019e3b92bf6e.
meta-llama/Llama-3.1-70B-Instruct on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3)
Headline metrics
Run configuration
- Model: meta-llama/Llama-3.1-70B-Instruct @ unknown00
- Engine: vllm vunknown
- Quantization: fp16
- Hardware: NVIDIA H100 80GB HBM3
- Driver: 580.126.09
- CUDA: 13.0
- Run date: 2026-05-18T14:52:13.550512+00:00
- Seed: 0
Verification
This result is Sigstore-signed and Rekor-logged. Verify:
pip install inferencebench
bench verify hf://datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-quality-persona-consistency-mini__019e3b92bf6e/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b92bf6e,
title = { meta-llama/Llama-3.1-70B-Instruct on llm.quality.persona-consistency-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-quality-persona-consistency-mini__019e3b92bf6e },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
