Poolside has released Laguna S 2.1, a 118B parameter Mixture-of-Experts model with 8B activated parameters per token. This model is designed for agentic coding and long-horizon tasks, featuring a 1M token context window and interleaved attention mechanisms. Various quantized versions, including NVFP4 and GGUF, are available for local deployment and integration with popular libraries like transformers, vLLM, and llama.cpp. AI
IMPACT This release offers enhanced capabilities for agentic tasks and long-context processing, potentially accelerating development in AI-driven coding and complex problem-solving.
RANK_REASON Model release from a known AI lab (Poolside).
Read on Hugging Face Trending Models →
- Poolside
- Docker
- Google Colab
- Kaggle
- OpenAI
- OpenRouter
- poolside/Laguna-S-2.1
- SGLang
- transformers
- Vercel AI Gateway
- vLLM
- Jan
- llama.cpp
- llama-cpp-python
- LM Studio
- Ollama
- poolside/Laguna-S-2.1-GGUF
- Raspberry Pi
- Unsloth Studio
AI-generated summary · Google Gemini · from 4 sources. How we write summaries →