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LongCat-2.0 released: A large-scale MoE model with 1.6T total parameters

LongCat-2.0 has been released as a large-scale Mixture of Experts (MoE) model. This model features a total of 1.6 trillion parameters, with 48 billion active parameters. The release details can be found on the longcat.chat blog. AI

IMPACT This large-scale MoE model release contributes to the ongoing development and scaling of AI capabilities.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LongCat-2.0 released: A large-scale MoE model with 1.6T total parameters

COVERAGE [2]

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

    LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active https:// longcat.chat/blog/longcat-2.0/ # HackerNews # LongCat2 .0 # MoE # model # AItechnol

    LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active https:// longcat.chat/blog/longcat-2.0/ # HackerNews # LongCat2 .0 # MoE # model # AItechnology # machinelearning # large -scale # AI

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active https://longcat.chat/blog/longcat-2.0/ # HackerNews # Tech # AI

    LongCat-2.0, a large-scale MoE model with 1.6T total and 48B Active https://longcat.chat/blog/longcat-2.0/ # HackerNews # Tech # AI