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.
More from Models
- Harness bug masked Gemini 4 Argon: rerun with Antigravity beats Astra, nears Opus 5.5 — vitaliychiley · 2026-10-27
- GPT 6.1 Terra vs Claude Sonnet 5.5: speed and value vs raw capability — teortaxesTex · 2026-10-27
- Harmonic Teases: AI Taught to Prove Math, 'Something Harder' Coming Soon — satnam6502 · 2026-10-27
- OpenAI quietly swaps Plus/Pro default to cheaper GPT-6.1 Terra and cuts Codex allowance — kimmonismus · 2026-10-27
- 'Never been this uninterested after an OpenAI model release' — theteknosaur · 2026-10-27
- Dev questions reports of Chinese models writing insecure code, citing thin methods and conflicts — dbreunig · 2026-10-27