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HKUDS/SepLLM

[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"

569 46 -1/wk
GitHub
inference-speed large-language-models llms
Trend 0

Star & Fork Trend (20 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

HKUDS/SepLLM has -1 stars this period . 7-day velocity: -0.2%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric SepLLM UnifiedSKG LLaVA-Mini Awesome-AGI
Stars 569 569569569
Forks 46 613256
Weekly Growth -1 +0+1+0
Language Python PythonPythonN/A
Sources 1 111
License N/A Apache-2.0Apache-2.0MIT

Capability Radar vs UnifiedSKG

SepLLM
UnifiedSKG
Maintenance Activity 0

Last code push 253 days ago.

Community Engagement 40

Fork-to-star ratio: 8.1%. Lower fork ratio may indicate passive usage.

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 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.