Datasets:
metadata
license: cc-by-4.0
language:
- en
size_categories:
- n<1K
task_categories:
- text-generation
tags:
- benchmark
- inferencebench
- llm
- mistralai
- h100
inferencebench:
envelope_version: v1
suite_id: llm.mt.flores-200-mini-en-fr
suite_version: 1.0.0
model: mistralai/Mistral-7B-Instruct-v0.3
engine: vllm
hardware_class: h100
fingerprint_sha256: 550474fc9132129654f5d20c316eaffec99a1f67c0cc0b4641e60efb46ea79e7
signature_verified: false
rekor_log_index: -1
mistralai/Mistral-7B-Instruct-v0.3 on llm.mt.flores-200-mini-en-fr (NVIDIA H100 80GB HBM3)
Headline metrics
| Metric | Value | Unit |
|---|---|---|
| N Samples | 8 | |
| N Ok | 8 | |
| Ok Rate | 1 | |
| Chrf Mean | 0.767 | |
| Chrf P50 | 0.7445 | |
| Chrf P95 | 1 | |
| TTFT P50 | 11.9969 | ms |
| Total P50 Ms | 154.8732 | |
| Tokens Out Total | 181 |
Run configuration
- Model: mistralai/Mistral-7B-Instruct-v0.3 @ unknown00
- Engine: vllm vunknown
- Quantization: fp16
- Hardware: NVIDIA H100 80GB HBM3
- Driver: 580.126.09
- CUDA: 13.0
- Run date: 2026-05-18T13:28:25.989520+00:00
- Seed: 0
Verification
This result is Sigstore-signed and Rekor-logged. Verify:
pip install inferencebench
bench verify hf://datasets/Yobitel/mistralai-mistral-7b-instruct-v0-3__llm-mt-flores-200-mini-en-fr__019e3b460885/envelope.json
Methodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b460885,
title = { mistralai/Mistral-7B-Instruct-v0.3 on llm.mt.flores-200-mini-en-fr },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/mistralai-mistral-7b-instruct-v0-3__llm-mt-flores-200-mini-en-fr__019e3b460885 },
}
Published via InferenceBench — vendor-neutral AI benchmarks.