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Prime Intellect releases open framework for training trillion-parameter MoE models

By PulseAugur Editorial · [1 sources] ·

Prime Intellect has launched prime-rl 0.6.0, an open framework designed for training large Mixture-of-Experts (MoE) models using agentic reinforcement learning. This new system successfully trained the GLM-5 model on software engineering tasks, achieving a sequence length of 131k with the use of only 28 H200 GPUs. AI

IMPACT Enables more efficient training of large-scale AI models, potentially accelerating research in agentic reinforcement learning.

RANK_REASON Release of an open-source framework for training large AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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

Prime Intellect releases open framework for training trillion-parameter MoE models

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Release of an open-source framework for training large AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Prime Intellect has released prime-rl 0.6.0, an open framework for training trillion-parameter Mixture-of-Experts models on agentic reinforcement learning workl

    Prime Intellect has released prime-rl 0.6.0, an open framework for training trillion-parameter Mixture-of-Experts models on agentic reinforcement learning workloads. The system trained GLM-5 on software engineering tasks at 131k sequence length using just 28 H200 GPUs. https://ww…

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