IB
kssteven418/I-BERT
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
267 42 +0/wk
GitHub
bert efficient-model efficient-neural-networks model-compression natural-language-processing quantization transformer
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kssteven418/I-BERT has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | I-BERT | markup | extreme-bert | PL-BERT |
|---|---|---|---|---|
| Stars | 267 | 268 | 268 | 268 |
| Forks | 42 | 32 | 14 | 57 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs markup
I-BERT
markup
Maintenance Activity 0
Last code push 1166 days ago.
Community Engagement 79
Fork-to-star ratio: 15.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.