LLaDA2.2-flash brings 128K context and Levenshtein Editing to agentic diffusion models
pmttyji · reddit · 2026-07-23
inclusionAI has released LLaDA2.2-flash on Hugging Face: an agent-oriented diffusion language model aimed at long-context tool use and multi-turn interaction.
What stands out
- 128K context with MoE-style block routing for efficient long-context workloads.
- Levenshtein Editing introduces DELETE and INSERT control tokens so the model can restructure sequences while decoding.
- L-EBPO (Levenshtein Editing ELBO-based Block-level Policy Optimization) uses agentic environment rewards to improve error correction and tool-use behavior.
The model is described as 100B non-embedding parameters, 32 layers, 32 attention heads, and a 157,184 vocabulary size.
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