Model card
Laguna S 2.1 is a specialized Mixture-of-Experts (MoE) model engineered specifically for high-performance software engineering workflows. Built by Poolside, the architecture utilizes a 118B total parameter structure with 8B active parameters per token, striking a balance between deep reasoning capabilities and low-latency inference. Unlike general-purpose LLMs, this model is fine-tuned for terminal interaction, complex debugging, and codebase navigation, as evidenced by its strong performance on Terminal-Bench 2.1. For developers, this means more reliable command-line execution and better context awareness during automated refactoring tasks. It supports a massive 262k context window, making it suitable for ingesting entire repositories or extensive documentation for RAG-based development tools. Whether you are integrating it into a CLI agent or a custom IDE extension via API, Laguna S 2.1 offers a highly efficient alternative to heavier, non-specialized models for autonomous coding agents.
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