Second-generation XS size model with enhanced tool calling and reasoning capabilities, quantized to fp8 for production efficiency.
Laguna XS.2 introduces a 33B parameter MoE architecture with 3B activated parameters per token, featuring mixed sliding window and global attention layers, native reasoning support, and optimization for local deployment.
Poolside has released Laguna XS.2, a 33B total parameter Mixture-of-Experts model with 3B activated parameters per token, designed for agentic coding. The model features a 131,072-token context window, scores 68.2% on SWE-bench Verified, and is available under Apache 2.0 license with free API access.
Poolside has released Laguna XS.2, the second-generation model in its XS size class for agentic coding workflows. The model offers 128K context window, up to 8K output tokens, and is quantized to fp8 for efficiency, available free via OpenRouter.