Dataset · Hugging Face

Zek-Takai/glm53-flash-harvest

Name: glm53-flash-harvest
Creator: Zek-Takai
License: mit
Keywords: task_categories:text-generation, language:en, language:zh, license:mit, size_categories:100K<n<1M, format:parquet, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, speculative-decoding, drafter-training

GLM-5.3-Flash On-Policy Harvest 86,006 responses / 246,034,910 generated tokens written by zai-org/GLM-5.3-Flash from its reference FP8 weights, across four harvest rounds, 15 registers and both serving modes (22,016 rows carry the model's inline <think>…</think> chain). It is on-policy text: the corpus records what the target model actually generates, which is what a speculative-decoding drafter (EAGLE-3 / DFlash / DSpark family) has to learn to predict. Everything here is MIT.… See the full description on the dataset page: https://huggingface.co/datasets/Zek-Takai/glm53-flash-harvest.

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Author / organization	Zek-Takai
License (as declared)	mit
Downloads	574 (as reported by Hugging Face)
Likes	3
Created	30 August 2026
Last updated at source	3 September 2026

speculative-decodingdrafter-trainingon-policyglmglm-5.3eagle3dflashdsparkreasoningthinkingsyntheticdistillation

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