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Orthrus-Qwen3: up to 7.8×tokens/forward on Qwen3, identical output distribution

GitHub - chiennv2000/orthrus: Fast, lossless LLM inference via dual-view diffusion decoding.

github.com

May 15, 2026

2 min read

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Summary

Official implementation and model checkpoints for Orthrus, a dual-architecture framework that unifies the exact generation fidelity of autoregressive Large Language Models (LLMs) with the high-speed parallel token generation of diffusion models. demo_orthrus.mp4 All models use a Qwen3 backbone and guarantee strictly lossless generation. | Model | Base Model | HuggingFace | Avg. Speedup | |---|---|...

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