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Modernbert Large Llm Router
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Modernbert Large Llm Router

Developed by AdamLucek
This model is a fine-tuned LLM router classifier based on ModernBERT-large, used to distinguish between complex queries (using large language models) and simple queries (using small language models).
Text Classification
Transformers
Open Source License:Apache-2.0#LLM routing classification#High precision F1#Query complexity analysis
Downloads 24
Release Time : 1/5/2025

Model Overview

A text classification model fine-tuned on ModernBERT-large, specifically designed for LLM routing decisions, classifying queries as requiring large language model processing or small language model processing.

Model Features

Efficient routing
Accurately distinguishes between complex and simple queries, optimizing LLM resource usage
High accuracy
Achieves an F1 score of 0.9933 on the test set, demonstrating excellent performance
Based on ModernBERT
Fine-tuned on the advanced ModernBERT-large architecture, inheriting its powerful text understanding capabilities

Model Capabilities

Text classification
Query complexity assessment
LLM routing decision

Use Cases

LLM resource optimization
Intelligent routing system
Distributes query requests among multiple LLM services to optimize computational resource usage
Reduces unnecessary calls to large models, lowering costs
Chat system
Selects appropriate response models based on the complexity of user queries
Improves response speed while maintaining answer quality for complex questions
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