Yobitel/qwen-qwen2-5-coder-7b-instruct__code-generation-humaneval-mini__019e3b3f81a0
Qwen/Qwen2.5-Coder-7B-Instruct 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 1 Pass At 1 P05 1 Pass At 1 P50 1 Pass At 1 P95 1 Timeout Rate 0 TTFT P50 15.1846 ms Total P50 Ms 1141.4107 Tokens Out Total 944 Run configuration Model: Qwen/Qwen2.5-Coder-7B-Instruct @ unknown00 Engine: vllm vunknown… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/qwen-qwen2-5-coder-7b-instruct__code-generation-humaneval-mini__019e3b3f81a0.
Qwen/Qwen2.5-Coder-7B-Instruct on code.generation.humaneval-mini (NVIDIA H100 80GB HBM3)
Headline metrics
Run configuration
- Model: Qwen/Qwen2.5-Coder-7B-Instruct @ unknown00
- Engine: vllm vunknown
- Quantization: fp16
- Hardware: NVIDIA H100 80GB HBM3
- Driver: 580.126.09
- CUDA: 13.0
- Run date: 2026-05-18T13:21:18.240224+00:00
- Seed: 0
Verification
This result is Sigstore-signed and Rekor-logged. Verify:
pip install inferencebench
bench verify hf://datasets/Yobitel/qwen-qwen2-5-coder-7b-instruct__code-generation-humaneval-mini__019e3b3f81a0/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b3f81a0,
title = { Qwen/Qwen2.5-Coder-7B-Instruct on code.generation.humaneval-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/qwen-qwen2-5-coder-7b-instruct__code-generation-humaneval-mini__019e3b3f81a0 },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
