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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

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

RANK_REASON Release of open-weight coding models with benchmark results.

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

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

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Research
Release of open-weight coding models with benchmark results.
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2 independent sources
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model release, product
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COVERAGE [2]

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

    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

    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] ·

    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,

    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…