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Poolside releases Laguna S 2.1, 118B coding model matching rivals 10x larger

Poolside, a San Francisco AI lab, released Laguna S 2.1 on Tuesday—a 118-billion-parameter Mixture-of-Experts coding model that activates only 8 billion parameters per token and supports a context window of up to 1 million tokens. The model scores 70.2% on Terminal-Bench 2.1, placing it 11th on Poolside's leaderboard. Weights are available immediately on Hugging Face under the permissive OpenMDW-1.1 license.

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