Multi-LLM Evaluation & Deployment Readiness Benchmark

Author: Theocharis Triantafyllidis

Description

This notebook provides a comprehensive framework to compare, evaluate, and rank multiple instruction-tuned LLMs for real-world deployment scenarios. It is designed to simulate enterprise-grade model selection workflows, enabling users to assess trade-offs between model performance, efficiency, and deployment readiness.

Key Features:

• Compare multiple LLMs (Mistral, Qwen, Hermes) across diverse prompts
• Measure latency, verbosity, and semantic similarity of generated outputs
• Automatically rank models to identify the most suitable candidate for deployment
• Provide an interactive Gradio playground for real-time testing
• Visualize evaluation results and generate CSV reports for further analysis

Use Case:
Ideal for teams and researchers aiming to benchmark models under production-like conditions, ensuring informed decisions for enterprise deployment of LLMs.

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Getting Started with Colab

1. Open the notebook in Google Colab:
   Open Notebook in Colab

2. Make a copy to your own Google Drive:

   • Click File → Save a copy in Drive

3. Run the cells interactively to evaluate models, visualize results, and use the Gradio playground.

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