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Z.ai details GLM-5.5 training pipeline with multiple model sizes

By PulseAugur Editorial · [1 sources] ·

Z.ai's Chief Scientist, Jie Tang, has disclosed details about the training pipeline for the forthcoming GLM-5.5 model series. This new iteration will include multiple parameter sizes, with options for 32 billion, 122 billion, and 256 billion parameters. AI

IMPACT Details on the training pipeline for GLM-5.5 suggest a multi-tiered approach to model deployment, potentially catering to diverse computational needs.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Z.ai details GLM-5.5 training pipeline with multiple model sizes

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Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release
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COVERAGE [1]

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

    Z.ai chief scientist Jie Tang just revealed the training pipeline behind the upcoming GLM-5.5 (32B, 122B, and 256B)

    <!-- SC_OFF --><div class="md"><p>Smaller GLM models are coming! GLM 5.5 will have a 32B model!</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/wapswaps"> /u/wapswaps </a> <br /> <span><a href="https://x.com/bebuu_ai/status/21180527698568888…

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