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Poolside launches Laguna S 2.1, an 118B open-weight coding model for desktops

By PulseAugur Editorial · [1 sources] ·

Poolside, a company co-founded by former GitHub CTO Jason Warner, has launched Laguna S 2.1, an 118-billion-parameter open-weight coding model. This model is designed to run on a desktop and reportedly matches or surpasses the performance of larger models from DeepSeek and Nvidia. Poolside positions Laguna S 2.1 as a Western alternative to Chinese AI offerings. AI

IMPACT Provides a powerful, desktop-runnable coding model, potentially democratizing access to advanced AI development tools.

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

Read on Mastodon — fosstodon.org →

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

Poolside launches Laguna S 2.1, an 118B open-weight coding model for desktops

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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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COVERAGE [1]

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

    Poolside, founded by ex-GitHub CTO Jason Warner, released Laguna S 2.1 - an 118-billion-parameter open-weight coding model that runs on a desktop. The model mat

    Poolside, founded by ex-GitHub CTO Jason Warner, released Laguna S 2.1 - an 118-billion-parameter open-weight coding model that runs on a desktop. The model matches or beats larger rivals from DeepSeek and Nvidia, pitched as the West answer to Chinese AI. https:// thenextweb.com/…

    LINKS thenextweb.com/…/poolside-laguna-s-2-1-op…

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