yuchenlin/LLM-Blender

[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.

978 89 +0/wk

GitHub

ensamble-methods large-language-models llm natural-language-processing

Trend 0

Star & Fork Trend (38 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 978

forks 89

Growth Velocity

yuchenlin/LLM-Blender 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	LLM-Blender	ai-hub-models	YouTokenToMe	plato-research-dialogue-system
Stars	978	977	977	979
Forks	89	168	109	189
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	C++	Python
Sources	1	1	1	1
License	Apache-2.0	BSD-3-Clause	MIT	Apache-2.0

Capability Radar vs ai-hub-models

LLM-Blender

ai-hub-models

Maintenance Activity 0

Last code push 533 days ago.

Community Engagement 46

Fork-to-star ratio: 9.1%. 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 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.