CoolFace
Datasetpublic

Yobitel/qwen-qwen2-vl-7b-instruct__llm-quality-factual-mini__019e3b85fc73

Qwen/Qwen2-VL-7B-Instruct on llm.quality.factual-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 10 N Ok 10 Ok Rate 1 Accuracy 1 Accuracy P05 1 Accuracy P50 1 Accuracy P95 1 TTFT P50 29.4403 ms Total P50 Ms 176.794 Tokens Out Total 150 Run configuration Model: Qwen/Qwen2-VL-7B-Instruct @ unknown00 Engine: vllm vunknown Quantization: fp16 Hardware: NVIDIA H100… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/qwen-qwen2-vl-7b-instruct__llm-quality-factual-mini__019e3b85fc73.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face
0likes9downloads
Dataset Card

Qwen/Qwen2-VL-7B-Instruct on llm.quality.factual-mini (NVIDIA H100 80GB HBM3)

Back to leaderboard

Headline metrics

MetricValueUnit
N Samples10
N Ok10
Ok Rate1
Accuracy1
Accuracy P051
Accuracy P501
Accuracy P951
TTFT P5029.4403ms
Total P50 Ms176.794
Tokens Out Total150

Run configuration

  • —Model: Qwen/Qwen2-VL-7B-Instruct @ unknown00
  • —Engine: vllm vunknown
  • —Quantization: fp16
  • —Hardware: NVIDIA H100 80GB HBM3
  • —Driver: 580.126.09
  • —CUDA: 13.0
  • —Run date: 2026-05-18T14:38:17.203276+00:00
  • —Seed: 0

Verification

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

bash
pip install inferencebench
bench verify hf://datasets/Yobitel/qwen-qwen2-vl-7b-instruct__llm-quality-factual-mini__019e3b85fc73/envelope.json

Rekor entry: log index -1

Methodology

See the suite methodology page.

Citation

bibtex
@misc{inferencebench_019e3b85fc73,
  title = { Qwen/Qwen2-VL-7B-Instruct on llm.quality.factual-mini },
  author = { {InferenceBench community} },
  year = { 2026 },
  url = { https://huggingface.co/datasets/Yobitel/qwen-qwen2-vl-7b-instruct__llm-quality-factual-mini__019e3b85fc73 },
}

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