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Dataset ยท Hugging Face

mayank-dubey-ai/l4-gpu-llm-benchmark-leaderboard

๐Ÿš€ Local LLM Serving & Quality Benchmark Leaderboard (NVIDIA L4 24GB) An exhaustive, reproducible benchmark study measuring real-world serving performance (TTFT, TPOT, throughput, peak VRAM, energy consumption, and cost) alongside rigorous task quality gates (HumanEval+, MMLU-Pro, BFCL v4 tool calling, and RULER needle retrieval) for open-weight LLMs on a single NVIDIA L4 24GB GPU. ๐Ÿ“Š Executive Summary & Key Takeaways โšก Best Throughput & Coding Workhorse:โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/mayank-dubey-ai/l4-gpu-llm-benchmark-leaderboard.

Author / organizationmayank-dubey-ai
License (as declared)apache-2.0
Downloads126 (as reported by Hugging Face)
Likes0
Created24 August 2026
Last updated at source24 August 2026
benchmarkvllmserving-benchmarksllm-leaderboardhumanevalevalplusmmlu-probfclrulerneedle-in-a-haystacknvidia-l4inference-costthroughputlatencyint4nvfp4mxfp4gpt-oss-20bqwen3.8-27bnemotron-3.5mamba-2moe
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