Datasetpublic

Yobitel/meta-llama-llama-3-1-70b-instructllm-mt-flores-200-mini-en-fr019e3b92df93

meta-llama/Llama-3.1-70B-Instruct on llm.mt.flores-200-mini-en-fr (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 8 N Ok 8 Ok Rate 1 Chrf Mean 0.8819 Chrf P50 0.9033 Chrf P95 1 TTFT P50 32.0341 ms Total P50 Ms 296.1723 Tokens Out Total 115 Run configuration Model: meta-llama/Llama-3.1-70B-Instruct @ unknown00 Engine: vllm vunknown Quantization: fp16 Hardware: NVIDIA… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-mt-flores-200-mini-en-fr__019e3b92df93.

sourceHugging Facecc-by-4.0updated 4mo agoView on Hugging Face

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meta-llama/Llama-3.1-70B-Instruct on llm.mt.flores-200-mini-en-fr (NVIDIA H100 80GB HBM3)

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Headline metrics

Metric	Value	Unit
N Samples	8
N Ok	8
Ok Rate	1
Chrf Mean	0.8819
Chrf P50	0.9033
Chrf P95	1
TTFT P50	32.0341	ms
Total P50 Ms	296.1723
Tokens Out Total	115

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: 2026-05-18T14:52:21.779753+00:00
—Seed: 0

Verification

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

bash

pip install inferencebench
bench verify hf://datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-mt-flores-200-mini-en-fr__019e3b92df93/envelope.json

Rekor entry: log index -1

Methodology

See the suite methodology page.

Citation

bibtex

@misc{inferencebench_019e3b92df93,
  title = { meta-llama/Llama-3.1-70B-Instruct on llm.mt.flores-200-mini-en-fr },
  author = { {InferenceBench community} },
  year = { 2026 },
  url = { https://huggingface.co/datasets/Yobitel/meta-llama-llama-3-1-70b-instruct__llm-mt-flores-200-mini-en-fr__019e3b92df93 },
}

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