---
title: Modular Model Composition Explorer
emoji: 🧩
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 6.15.2
app_file: app.py
pinned: false
short_description: Profile adapter compatibility and VRAM cost for models
---

# Modular Model Composition Explorer

This Hugging Face Space serves as a production-grade developer environment to profile multi-tenant adapter networks, calculate tensor shapes, and analyze VRAM efficiency for runtime model architectures. It allows engineers to simulate complex modular compositions without setting up heavy local hardware infrastructure.

## Core Capabilities

- **Adapter Compatibility Checker**: Empirically verify structural alignment (hidden size, attention heads, target modules) between base models and PEFT adapters using real-time Hugging Face Hub metadata.
- **Multi-Tenant Router Simulator**: Profile runtime routing overhead and performance bottlenecks for dynamic adapter configurations (e.g., Token Gating, MoE).
- **VRAM & Resource Calculator**: Calculate precise infrastructure footprints, including KV Cache overhead and multi-tenant scaling factors across various quantization levels (FP16, INT8, INT4).

## Technical Implementation
The application uses **Gradio** for the interactive interface, **huggingface_hub** for metadata retrieval, and **Plotly** for high-fidelity architectural visualizations. It focuses on structural and resource profiling, abstracting away the underlying tensor computations for rapid prototyping.