dLLM: Simple Diffusion Language Modeling
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Updated
Feb 10, 2026 - Python
dLLM: Simple Diffusion Language Modeling
Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference
[ICLR 2026] Official repository of "Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models"
Official repository of DARE: dLLM Alignment and Reinforcement Executor
paper list, tutorial, and nano code snippet for Diffusion Large Language Models.
Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible experimentation and exploration.
d3LLM: Ultra-Fast Diffusion LLM 🚀
(ICLR 2026 🔥) Code for "The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs"
Stable-DiffCoder is a family of lightweight open-source code DLLMs(diffusion large language models) comprising base and instruct models, developed by ByteDance Seed.
Flexible and Pluggable Serving Engine for Diffusion LLMs
Official Repository of "Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step"
Frequently updated list of dLLM (Diffusion Large Language Models) papers, models, and other resources
Official Repository of "ρ-𝙴𝙾𝚂: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs"
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