DownloadLaguna XS.2 is Poolside’s first open-weight Mixture-of-Experts model designed specifically for agentic coding and long-horizon software engineering tasks. The model contains 33B total parameters with only 3B activated per token, allowing it to deliver strong coding performance while remaining efficient enough to run locally on modern consumer hardware. It uses a hybrid attention architecture that combines Sliding Window Attention and global attention layers, reducing memory requirements and improving inference speed. Laguna XS.2 supports native reasoning with interleaved thinking between tool calls, enabling more capable autonomous coding agents and multi-step workflows. The model features a 262K-token context window, preserved reasoning across interactions, FP8 KV-cache optimization, and compatibility with local deployment ecosystems such as Ollama and vLLM.
Features
- 33B-parameter Mixture-of-Experts architecture with 3B active parameters
- Designed specifically for agentic coding and software engineering
- 262K-token context window for long-horizon tasks
- Native interleaved reasoning between tool calls
- Hybrid Sliding Window and global attention architecture
- FP8 KV-cache optimization for lower memory usage
- Runs locally on high-memory consumer hardware and Apple Silicon systems
- Apache 2.0 open-weight release for commercial and research use
Project Samples
