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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01JohnVitz /tsa-throughput-streaming-test4tabular100K<n<1M0 likes254 downloads7mo agoHugging Face02JohnVitz /tsa-throughput-streaming-test2tabular10K<n<100K0 likes214 downloads7mo agoHugging Face03JohnVitz /tsa-throughput-streaming-testtabular10K<n<100K0 likes204 downloads7mo agoHugging Face04JohnVitz /tsa-throughput-streaming-test3tabular10K<n<100K0 likes113 downloads7mo agoHugging Face05pbhappliedsystems /quant_eval_throughput_telemetry quant_eval — Throughput telemetry One record per generation call across all published runs, pooled into a single union schema. Carries token counts, timing, and the token-count source per call. Part of the quant_eval public corpus: a per-case behavioral evaluation of full-weight and quantized large language models across eight agent-relevant task families, with paired statistical testing. Cite this dataset: 10.5281/zenodo.22009987 — concept DOI, always resolves to the latest… See the full description on the dataset page: https://huggingface.co/datasets/pbhappliedsystems/quant_eval_throughput_telemetry.tabular10K<n<100K0 likes71 downloads1mo agoHugging Face06electricsheepafrica /africa-synth-trade-port-throughput-performance-all African Port Throughput Performance | Africa (Electric Sheep Africa metadata inventory) Size category: 10K<n<100K - Formats: csv - Sector: infrastructure_transport - Engineered by Electric Sheep Africa TL;DR This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context. What This Dataset Covers Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-trade-port-throughput-performance-all.tabulartabular-classification10K<n<100K0 likes20 downloads1mo agoHugging Face07iBlessi /rtx-5080-llm-throughput RTX 5080 Local LLM Throughput — Measured, Not Estimated Measured decode and prefill tokens/second, load times, and VRAM residency for local LLMs on a single retail NVIDIA GeForce RTX 5080 (16 GB): gpt-oss:20b (MXFP4), Qwen 2.5 14B and 7B (Q4_K_M), and Llama 3.2 3B (Q4_K_M), at 4k and 16k context with ~500 and ~1,650-token prompts. Method Every figure is the median of 3 runs using ollama's native eval_count/eval_duration counters — never wall-clock division. Every… See the full description on the dataset page: https://huggingface.co/datasets/iBlessi/rtx-5080-llm-throughput.tabularn<1K0 likes13 downloads1mo agoHugging Face

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