Laguna XS 2.1 is a 33B-parameter Mixture-of-Experts model with 3B parameters activated per token, designed for agentic coding and long-horizon work on local machines.
Highlights
Agentic coding: trained for software engineering, terminal tasks, and multi-step tool use.
Efficient MoE architecture: routes each token through 8 of 256 experts plus one shared expert.
Native reasoning: supports interleaved thinking between tool calls with a per-request thinking toggle.
Long context: supports up to 262,144 tokens.
Custom Fields
Special features defined by the model author
Enable Thinking
: boolean
(default=false)
Controls whether the model will think before replying
Parameters
Custom configuration options included with this model
Laguna XS 2.1 is a 33B-parameter Mixture-of-Experts model with 3B parameters activated per token, designed for agentic coding and long-horizon work on local machines.
Highlights
Agentic coding: trained for software engineering, terminal tasks, and multi-step tool use.
Efficient MoE architecture: routes each token through 8 of 256 experts plus one shared expert.
Native reasoning: supports interleaved thinking between tool calls with a per-request thinking toggle.
Long context: supports up to 262,144 tokens.
Custom Fields
Special features defined by the model author
Enable Thinking
: boolean
(default=false)
Controls whether the model will think before replying
Parameters
Custom configuration options included with this model