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Poolside AI releases open-weight agentic coding models Laguna XS.2 and M.1

Poolside AI has launched two new open-weight agentic coding models, Laguna XS.2 and M.1. The models achieved impressive scores on the SWE-bench Verified benchmark, with M.1 reaching 72.5% and XS.2 reaching 68.2%. The XS.2 model, a 33-billion parameter model, is notable for its ability to run locally on consumer hardware with 36GB of RAM, making advanced coding assistance more accessible. AI

影响 Provides accessible, locally runnable agentic coding tools, potentially lowering barriers for developers.

排序理由 Release of open-weight coding models with benchmark results.

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Poolside AI releases open-weight agentic coding models Laguna XS.2 and M.1

报道来源 [2]

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

    Poolside AI 发布了 Laguna XS.2 和 M.1,这是开放权重 agentic 编码模型,在 SWE-bench Verified 上分别达到了 68.2% 和 72.5%。XS.2 模型

    Poolside AI has released Laguna XS.2 and M.1, open-weight agentic coding models that achieve 68.2% and 72.5% on SWE-bench Verified respectively. The XS.2 model runs locally on a Mac with 36GB RAM. https://www. marktechpost.com/2026/04/28/po olside-ai-introduces-laguna-xs-2-and-m-…

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

    美国人工智能初创公司Poolside发布了Laguna XS.2,一款免费的开源本地代理编码模型。该330亿参数模型可在单个GPU上本地运行,

    American AI startup Poolside has released Laguna XS.2, a free open-source model for local agentic coding. The 33bn-parameter model runs locally on a single GPU, achieving 44.5% on SWE-bench Pro, nearly matching models six times its size. Available via Hugging Face and Ollama. htt…