dQwen3.5: Hybrid-Attention Diffusion Language Models
This work investigates whether hybrid backbones can become effective DLMs by adapting Qwen3.5 at 0.8B, 2B, 4B, and 9B scales, and finds that they can be efficient starting points for adaptation.
Anton Xue, Litu Rout, Aditya Akella et al.
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