chiennv2000/orthrus

Worth installing(Strong adoption and recent activity)

Fast, lossless LLM inference via dual-view diffusion decoding.

Why this repo matters

Achieves fast and lossless LLM inference using a novel dual-view diffusion decoding approach.
Focuses on improving LLM efficiency, a critical area for current AI development.
Shows recent activity and adoption, indicating ongoing interest and potential for future impact.

Trend Velocity Score: 7.23
Opportunity Score: 55.02
Confidence Score: 100.00
Language: Python
License: MIT
Topics:
🏷️ diffusion-language-models 🏷️ efficient-inference 🏷️ large-language-models 🏷️ llm 🏷️ llm-efficiency 🏷️ model-architecture 🏷️ natural-language-processing
First Seen: 4 months ago

482 stars+54 over 36 snapshots6/22/2026 – 10/8/2026

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