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Language modelOpen weights

LLaDA 2.2 Mini

inclusionAI

Released
-
Data date
October 7, 2026
Input
Text
Output
Text

LLaDA 2.2 Mini uses Levenshtein editing to modify sequences during parallel generation through DELETE and INSERT control tokens. The MoE diffusion model has 16 billion parameters excluding embeddings, activates 1.4 billion, and supports a provider-reported 128K context.

Block Routing limits expert activation at the diffusion-block level, targeting agentic tasks with long contexts. The Apache 2.0 weights are documented for local deployment; Hugging Face currently lists no hosted inference provider.

Specifications and access

SpecificationValue and source
Provider model ID
inclusionAI/LLaDA2.2-miniSource
Access
Open weights for local deploymentSource
Input modalities
TextSource
Output modalities
TextSource
License
Apache 2.0Source
Reported context
128K tokens; no exact integer limit statedSource
Parameter count scope
16B total parameters excluding embeddings, with 1.4B activated during inference.Source