TU
OnlyTerp/turboquant
First open-source implementation of Google TurboQuant (ICLR 2026) -- near-optimal KV cache compression for LLM inference. 5x compression with near-zero quality loss.
53 6 +0/wk
GitHub
attention compression deep-learning google-research iclr kv-cache kv-cache-compression llm llm-inference machine-learning memory-optimization pytorch
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
OnlyTerp/turboquant has +0 stars this period . 7-day velocity: -1.9%.
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Signal-backed technical analysis will be available soon.
| Metric | turboquant | pytorch-implementations | toon-json-render | reshapr |
|---|---|---|---|---|
| Stars | 53 | 53 | 53 | 53 |
| Forks | 6 | 9 | 0 | 6 |
| Weekly Growth | +0 | +0 | +0 | +2 |
| Language | Python | Jupyter Notebook | TypeScript | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | Apache-2.0 |
Capability Radar vs pytorch-implementations
turboquant
pytorch-implementations
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 57
Fork-to-star ratio: 11.3%. 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.