ME News reports that on July 22 (UTC+8), Poolside released Laguna S 2.1, a MoE model with 118B total parameters and 8B activated parameters, supporting a 1M token context window, developed and released in less than nine weeks. It achieves a score of 70.2% on Terminal-Bench 2.1, outperforming most models of similar size, and scores 40.4% on DeepSWE. The model weights are open-sourced, and the full evaluation trajectory is available 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)
Poolside Releases Laguna S 2.1: An 118B-Parameter MoE Model with 1M Token Context
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Summary
Poolside has launched Laguna S 2.1, an 118B-parameter MoE model with 8B active parameters and 1M token context. Derived from MetaEra, the model was developed in under nine weeks and achieved 70.2% on Terminal-Bench 2.1 and 40.4% on DeepSWE. The weights are open-sourced, with evaluation data available at trajectories.poolside.ai. This represents a major token launch milestone in the AI space, and new token listings may follow as the model gains adoption.
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