avnlp/llm-blender
LLM-Blender: Ensembling framework that maximizes LLM performance via pairwise ranking. Employs PairRanker to rank candidates and GenFuser to merge outputs, generating superior responses by combining the diverse strengths of multiple open-source models.
This tool helps you get higher quality, more reliable text responses from large language models (LLMs) when generating content. It takes the same input prompt and sends it to several LLMs, then ranks their individual responses and intelligently merges the best parts into a single, superior final output. It is designed for developers building applications that rely on LLM-generated text, such as chatbots or content creation tools.
Use this if you are building an application with multiple LLMs and need a way to consistently improve the quality and coherence of their combined text outputs.
Not ideal if you are a casual LLM user looking for a simple, out-of-the-box solution without any programming, or if you only use a single LLM for your tasks.
Stars
36
Forks
3
Language
Python
License
MIT
Category
Last pushed
Dec 20, 2025
Commits (30d)
0
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