Yobitel/qwen-qwen2-5-coder-7b-instruct__llm-quality-persona-consistency-mini__019e3b3fe948
Qwen/Qwen2.5-Coder-7B-Instruct on llm.quality.persona-consistency-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 5 N Ok 5 Ok Rate 1 Persona Consistency Mean 0.76 Accuracy 0.76 Persona Consistency P50 0.8 Persona Consistency P95 1 Accuracy P05 0.32 Accuracy P50 0.8 Accuracy P95 1 Drift Rate 0.6 Mean Drift Turn 2.6667 TTFT P50 14.4754 ms Total P50 Ms 1210.5122 Tokens… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/qwen-qwen2-5-coder-7b-instruct__llm-quality-persona-consistency-mini__019e3b3fe948.
Qwen/Qwen2.5-Coder-7B-Instruct on llm.quality.persona-consistency-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: 2026-05-18T13:21:44.776816+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__llm-quality-persona-consistency-mini__019e3b3fe948/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b3fe948,
title = { Qwen/Qwen2.5-Coder-7B-Instruct on llm.quality.persona-consistency-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/qwen-qwen2-5-coder-7b-instruct__llm-quality-persona-consistency-mini__019e3b3fe948 },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
