Python
Dreamer-Toby/STEPQuant
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
★ 101
Stars
2 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
19.7
Momentum / 100
see the breakdown below
39d ago
Created
last push 16d 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 | 13.9 | last push 16d ago; decays to zero at 180 days |
| Scale | 15 | 5.8 | 101 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 19.7 | sum of the above |
Detail
| Topics | large-language-modelsllmpost-training-quantizationquantization |
| Matched on | LLM & Inference (large-language-models) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 2.74 stars/day over 37 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |