Laguna XS 2.1
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Poolside Releases Laguna XS 2.1 for Local Agentic Coding
Poolside has launched Laguna XS 2.1, a 33B MoE model optimized for local agentic coding under the permissive OpenMDW-1.1 license.
### TL;DR
Laguna XS 2.1 is a 33B total parameter Mixture-of-Experts (MoE) coding agent model with 3B activated parameters per token, specifically engineered for high-performance agentic coding and long-horizon tasks. It features an efficient architecture with mixed sliding-window and global attention, native interleaved reasoning, and support for a 256K context window, making it highly capable for local execution and complex software engineering workflows.
Key Insights & Metrics
Key Features
- 33B total parameter MoE model with 3B activated parameters
- 256K-token context window with native interleaved reasoning support
- Mixed sliding-window (512) and global attention (3:1 ratio)
- FP8 KV cache quantization for reduced memory usage
- Optimized for local deployment via Ollama, vLLM, and llama.cpp
- Supports speculative decoding with the DFlash draft model
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