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Poolside releases Laguna S 2.1: an 118B-parameter MoE model, with long-context encoding capabilities matching larger models

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ME News message, July 22 (UTC+8), Poolside released Laguna S 2.1, a MoE model with 118B total parameters and 8B active parameters, supporting a 1M token context window, taking less than nine weeks from training to release. On Terminal-Bench 2.1, it scored 70.2% to surpass most same-size models, and scored 40.4% on DeepSWE. The model weights have been open-sourced, and the full evaluation trajectories can be found at trajectories.poolside.ai. 🔗 Read the original article: https://poolside.ai/blog/introducing-laguna-s-2-1 via AI HOT · https://aihot.virxact.com/items/cmrv4r5hv00hhbizaqm90z102 (Source: AiHot)
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