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Community seeks compute for GLM5.2 distillation dataset to train smaller models

A user on the r/LocalLLaMA subreddit is requesting assistance from individuals with substantial computing resources to create a large distillation dataset from GLM5.2. The goal is to generate a dataset of 700,000 to 1 million examples to enable the proper training of smaller models, such as Qwen3.5, and improve their performance. This initiative is seen as a valuable contribution to the AI community. AI

IMPACT Enabling the training of smaller, more accessible models by leveraging larger ones.

RANK_REASON User request for compute resources to create a dataset from an existing model.

Read on r/LocalLLaMA →

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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Hot_Example_4456 ·

    Does anyone have enough compute to make a distillation dataset out of GLM5.2?

    <!-- SC_OFF --><div class="md"><p>Same as title. Some lucky ppl among us have massive amounts of compute and can run even GLM 5.2. Can someone plss make a BIG distillation dataset (eg 700k-1M examples) so that we can train smaller models like Qwen3.5 properly on it and have bette…