Laguna S 2.1 The BEST LOCAL Model? Open-Weight Model Beats GLM 5.2? (FULLY FREE)
The Poolside AI team launched Laguna S2.1, a highly efficient 118 billion parameter model capable of competing with larger models, offering practical deployment on consumer-grade hardware, and excelling in coding tasks with impressive speed and performance.
MAIN POINTS FROM TRANSCRIPT
- Laguna S2.1 is a 118 billion parameter model with 8 billion active parameters per token.
- It supports a 1 million token context window and includes thinking and non-thinking modes.
- The model was trained and launched in under 9 weeks, showcasing rapid development.
- Laguna S2.1 ranks sixth in the open-source category on AI benchmarks.
TAKEAWAYS
- Laguna S2.1 can run on a single Nvidia DGX Spark, making it accessible for developers.
- It competes with larger models, providing efficient performance on consumer-grade hardware.
- The model excels in coding tasks, generating tokens faster than larger competitors.
- Laguna S2.1 is available for free testing on the AI vi coding platform and benchmark tool.