Laguna S 2.1

Laguna S 2.1 is an efficient, open-source agentic coding model developed by Poolside. It is designed to run effectively on local hardware, leveraging a Mixture-of-Experts (MoE) architecture to optimize performance and resource usage.

Key Specifications

• Parameters: 118 billion
• Architecture: Mixture-of-Experts (MoE)
• Primary Use Case: Agentic coding tasks
• Deployment: Optimized for local hardware execution

Context & Analysis

The model represents a significant step in making high-capability coding agents accessible without reliance on cloud-based inference. Its MoE structure allows it to activate only a subset of parameters for each task, enhancing efficiency compared to dense models of similar scale.

For detailed technical breakdown and evaluation, see: Poolside’s Laguna S 2.1: Efficient Open-Source Agentic Coding for Local Hardware

References

• Poolside’s Laguna S 2.1: Efficient Open-Source Agentic Coding for Local Hardware (Video summary by Prompt Engineering, 2026-07-31)