PT
THUDM/P-tuning-v2
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
2.1k 208 +0/wk
GitHub
natural-language-processing p-tuning parameter-efficient-learning pretrained-language-model prompt-tuning
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0
Star & Fork Trend (18 data points)
Stars
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THUDM/P-tuning-v2 has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | P-tuning-v2 | kcws | dstack | aici |
|---|---|---|---|---|
| Stars | 2.1k | 2.1k | 2.1k | 2.1k |
| Forks | 208 | 635 | 222 | 82 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C++ | Python | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | MPL-2.0 | MIT |
Capability Radar vs kcws
P-tuning-v2
kcws
Maintenance Activity 0
Last code push 875 days ago.
Community Engagement 50
Fork-to-star ratio: 10.0%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.