Yobitel/mistralai-mistral-7b-instruct-v0-3__code-generation-humaneval-mini__019e3b4630cb
mistralai/Mistral-7B-Instruct-v0.3 on code.generation.humaneval-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 5 N Ok 5 Ok Rate 1 Pass At 1 0.8 Pass At 1 P05 0.2 Pass At 1 P50 1 Pass At 1 P95 1 Timeout Rate 0 TTFT P50 14.9549 ms Total P50 Ms 1243.2378 Tokens Out Total 824 Run configuration Model: mistralai/Mistral-7B-Instruct-v0.3 @ unknown00 Engine: vllm… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/mistralai-mistral-7b-instruct-v0-3__code-generation-humaneval-mini__019e3b4630cb.
mistralai/Mistral-7B-Instruct-v0.3 on code.generation.humaneval-mini (NVIDIA H100 80GB HBM3)
Headline metrics
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: 2026-05-18T13:28:36.299547+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__code-generation-humaneval-mini__019e3b4630cb/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b4630cb,
title = { mistralai/Mistral-7B-Instruct-v0.3 on code.generation.humaneval-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/mistralai-mistral-7b-instruct-v0-3__code-generation-humaneval-mini__019e3b4630cb },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
