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sfc-gh-goliaro/longbench-longctx

longbench-longctx Long-context requests for end-to-end LLM inference benchmarking in fastkernels — Scenario B. Exercises the regimes the bulk set can't reach: long-sequence attention (incl. sparse / sliding-window / DSA), RoPE/YaRN scaling, and large-KV decode. What it's for 64 real long documents truncated into clean prefill-length buckets from 8K to 128K, each paired with its real multiple-choice question. Prefill-dominated: it measures how kernels scale with… See the full description on the dataset page: https://huggingface.co/datasets/sfc-gh-goliaro/longbench-longctx.

Author / organizationsfc-gh-goliaro
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Created6 July 2026
Last updated at source6 July 2026
llminferencebenchmarklong-contextfastkernels
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