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.
Star & Fork Trend (37 data points)
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Growth Velocity
yuchenlin/LLM-Blender has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | LLM-Blender | plato-research-dialogue-system | ai-hub-models | YouTokenToMe |
|---|---|---|---|---|
| Stars | 978 | 979 | 977 | 977 |
| Forks | 89 | 189 | 168 | 109 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | BSD-3-Clause | MIT |
Capability Radar vs plato-research-dialogue-system
Last code push 533 days ago.
Fork-to-star ratio: 9.1%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
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