poolside/Laguna-S-2.1 released! Finally an interesting 120B contender!
Summary
poolside released Laguna-S-2.1, a new 120 billion parameter language model that emerges as a strong contender in the LLM landscape.
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poolside/Laguna-S-2.1-NVFP4
Poolside releases Laguna S 2.1, a 117.6B parameter Mixture-of-Experts model with 8.5B activated parameters designed for agentic coding, featuring sliding window attention, native reasoning support, and local deployment capability.
@cline: Laguna S 2.1 is a breakthrough in small model performance, beating models 3x its size. At only 118b param, it beats Dee…
Poolside releases Laguna S 2.1, a 118B parameter Mixture-of-Experts model with 8B activated per token and 1M context window, claiming to beat models three times its size like DeepSeek v4 Pro, Gemini 3.6 Flash, and Thinking Machines Inkling.
Laguna S 2.1
Poolside releases Laguna S 2.1, a 118B total parameter Mixture-of-Experts model with 8B activated parameters per token and up to 1M token context, achieving competitive scores on long-horizon coding benchmarks and touted as the most capable agentic coding model in its weight class.
poolside/Laguna-S-2.1-GGUF
Poolside releases GGUF quantizations of the Laguna S 2.1 AI model, including a DFlash speculative decoding draft model, enabling efficient local inference with llama.cpp.
Introducing Laguna XS 2.1 (5 minute read)
Poolside releases Laguna XS 2.1, a 33B parameter Mixture-of-Experts model with 3B activated parameters per token, designed for agentic coding, with improvements on SWE-bench Multilingual and other benchmarks, now available under the permissive OpenMDW-1.1 license.