Python · MIT
chiennv2000/orthrus
[NeurIPS 2026 Spotlight] Fast, lossless LLM inference via dual-view diffusion decoding.
★ 483
Stars
24 forks · 3 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
15.7
Momentum / 100
see the breakdown below
5mo ago
Created
last push 2mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 8.0 | last push 2mo ago; decays to zero at 180 days |
| Scale | 15 | 7.8 | 483 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 15.7 | sum of the above |
Detail
| Topics | diffusion-language-modelsefficient-inferencelarge-language-modelsllmllm-efficiencyllm-inferencemodel-architecturespeculative-decoding |
| Matched on | LLM & Inference (large-language-models, llm-inference) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 2.75 stars/day over 176 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |