H2
FMInference/H2O
[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
511 77 +1/wk
GitHub
gpt-3 heavy-hitters high-throughput kv-cache large-language-models sparsity
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
FMInference/H2O has +1 stars this period . 7-day velocity: 0.2%.
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| Metric | H2O | XPretrain | BertSimilarity | mergoo |
|---|---|---|---|---|
| Stars | 511 | 510 | 510 | 510 |
| Forks | 77 | 36 | 68 | 33 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | NOASSERTION | N/A | LGPL-3.0 |
Capability Radar vs XPretrain
H2O
XPretrain
Maintenance Activity 0
Last code push 615 days ago.
Community Engagement 75
Fork-to-star ratio: 15.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 52
+1 stars this period — 0.20% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.