Introducing Laguna S 2.1
- Today we’re releasing Laguna S 2.1, a significant step forward in our development of models that pursue longer horizon work and make effective use of reasoning.
- Laguna S 2.1 is a 118B total parameter Mixture-of-Experts (MoE) model with 8B activated parameters per token and supports a context window of up to 1M tokens in thinking and no-thinking modes.
- It went from the start of training to launch in under nine weeks, and on long-horizon coding benchmarks it holds its own against models many times its size.
Unverified
- Today we’re releasing Laguna S 2.1, a significant step forward in our development of models that pursue longer horizon work and make effective use of reasoning.
- Laguna S 2.1 is a 118B total parameter Mixture-of-Experts (MoE) model with 8B activated parameters per token and supports a context window of up to 1M tokens in thinking and no-thinking modes.
- It went from the start of training to launch in under nine weeks, and on long-horizon coding benchmarks it holds its own against models many times its size.
Sources: Poolside