Yobitel/deepseek-ai-deepseek-coder-v2-lite-instruct__llm-quality-factual-mini__019e3b6f9bdd
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on llm.quality.factual-mini (NVIDIA H100 80GB HBM3) Back to leaderboard Headline metrics Metric Value Unit N Samples 10 N Ok 10 Ok Rate 1 Accuracy 1 Accuracy P05 1 Accuracy P50 1 Accuracy P95 1 TTFT P50 45.0118 ms Total P50 Ms 359.225 Tokens Out Total 373 Run configuration Model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct @ unknown00 Engine: vllm vunknown… See the full description on the dataset page: https://huggingface.co/datasets/Yobitel/deepseek-ai-deepseek-coder-v2-lite-instruct__llm-quality-factual-mini__019e3b6f9bdd.
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on llm.quality.factual-mini (NVIDIA H100 80GB HBM3)
Headline metrics
Run configuration
- Model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct @ unknown00
- Engine: vllm vunknown
- Quantization: fp16
- Hardware: NVIDIA H100 80GB HBM3
- Driver: 580.126.09
- CUDA: 13.0
- Run date: 2026-05-18T14:13:50.685721+00:00
- Seed: 0
Verification
This result is Sigstore-signed and Rekor-logged. Verify:
pip install inferencebench
bench verify hf://datasets/Yobitel/deepseek-ai-deepseek-coder-v2-lite-instruct__llm-quality-factual-mini__019e3b6f9bdd/envelope.jsonMethodology
See the suite methodology page.
Citation
@misc{inferencebench_019e3b6f9bdd,
title = { deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on llm.quality.factual-mini },
author = { {InferenceBench community} },
year = { 2026 },
url = { https://huggingface.co/datasets/Yobitel/deepseek-ai-deepseek-coder-v2-lite-instruct__llm-quality-factual-mini__019e3b6f9bdd },
}Published via [InferenceBench](https://github.com/yobitelcomm/bench) — vendor-neutral AI benchmarks.
