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Poolside Launches Open Source! Laguna S 2.1 Now Free on OpenCode with Ultra-Long Context of 1M + 118B MoE Model Leads a New Era in Proxy Coding
AIbase Report: Poolside, a prominent player in AI-driven software development, has officially launched its most advanced model to date: Laguna S2.1. Now fully open source, this model is freely accessible via the OpenCode platform, generating significant buzz within the developer community.
Core Model Specifications
Scale and Architecture: Featuring an 118B parameter Mixture-of-Experts (MoE) architecture, with only 8B parameters activated per token.Context Window: Supports up to 1M tokens, making it ideal for extensive software engineering projects and complex agent workflows.Inference Modes: Offers both reasoning (thinking) and non-reasoning modes, allowing users to switch between them based on specific requirements.Performance Benchmark: Poolside asserts that Laguna S2.1 rivals much larger models in capability while remaining compact enough to operate on a single NVIDIA DGX Spark.
Open Source Availability Drives Rapid Adoption
Poolside has released the Laguna S2.1 weights under the OpenMDW-1.1 license, enabling immediate access to model files on Hugging Face. The OpenCode platform has also made the model freely available, highlighting its "1M Context · fully open source" features, which significantly lowers the barrier for developers to experiment with it.
Community feedback highlights successful deployments across diverse hardware, including Apple M3Max systems (128GB RAM) using a llama.cpp fork, as well as high-throughput inference in multi-machine DGX Spark setups. In benchmark tests, the model scored 70.2% on Terminal-Bench2.1 and demonstrated robust agent capabilities in coding challenges like DeepSWE.
Poolside's Strategic Vision
Focusing on agentic coding and long-horizon tasks, Poolside previously introduced the lightweight Laguna XS series. The launch of S2.1 signifies its shift from mid-range local models to high-performance flagship capabilities. This model combines exceptional performance with practical deployment efficiency, offering an optimal solution for local and private infrastructure.
AIbase Commentary
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AIbase Report: Poolside, a prominent player in AI-driven software development, has officially launched its most advanced model to date: Laguna S2.1. Now fully open source, this model is freely accessible via the OpenCode platform, generating significant buzz within the developer community.
Core Model Specifications
Scale and Architecture: Featuring an 118B parameter Mixture-of-Experts (MoE) architecture, with only 8B parameters activated per token.Context Window: Supports up to 1M tokens, making it ideal for extensive software engineering projects and complex agent workflows.Inference Modes: Offers both reasoning (thinking) and non-reasoning modes, allowing users to switch between them based on specific requirements.Performance Benchmark: Poolside asserts that Laguna S2.1 rivals much larger models in capability while remaining compact enough to operate on a single NVIDIA DGX Spark.
Open Source Availability Drives Rapid Adoption
Poolside has released the Laguna S2.1 weights under the OpenMDW-1.1 license, enabling immediate access to model files on Hugging Face. The OpenCode platform has also made the model freely available, highlighting its "1M Context · fully open source" features, which significantly lowers the barrier for developers to experiment with it.
Community feedback highlights successful deployments across diverse hardware, including Apple M3Max systems (128GB RAM) using a llama.cpp fork, as well as high-throughput inference in multi-machine DGX Spark setups. In benchmark tests, the model scored 70.2% on Terminal-Bench2.1 and demonstrated robust agent capabilities in coding challenges like DeepSWE.
Poolside's Strategic Vision
Focusing on agentic coding and long-horizon tasks, Poolside previously introduced the lightweight Laguna XS series. The launch of S2.1 signifies its shift from mid-range local models to high-performance flagship capabilities. This model combines exceptional performance with practical deployment efficiency, offering an optimal solution for local and private infrastructure.
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2026 Latest Best Top-rated AI Subtitle and Video Editing Tools for Creators are here on XIX.AI! This curated list features powerful game-changing tools that help creators boost productivity significantly, whether you need to add subtitles fast or refine video content. We conduct real-world tests and provide a free vs paid comparison along with weekly updated rankings. Must-try options are clearly highlighted to help you unlock your AI edge. Explore now to discover your perfect tool!
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