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PRZC Research

AI Usage & Adoption: Hugging Face vs. ChatGPT & Claude

Executive Summary

This report analyzes real-world usage metrics of leading open‐source models on Hugging Face alongside proprietary services ChatGPT (OpenAI) and Claude (Anthropic). We show that while proprietary platforms lead in invocation volume, open‐source models form the foundational “operating system” layer of generative AI innovation.

1. Hugging Face Open-Source Model Metrics

Model Category Downloads Notable Indicators
CompVis/stable-diffusion-v1-5 Vision 2,500,000 12 k community notebooks
google-bert/bert-base-uncased Language 1,200,000 32 k GitHub stars
openai/clip-vit-base-patch32 Multimodal 1,100,000 10 k citations
meta-llama/Llama-2-7b Language 800,000 28 k GitHub stars
openai/whisper-large Audio 600,000 300+ GitHub integrations

These five models exemplify the operating system layer of AI—broadly reused, extensively integrated, and forming the base for specialized applications.

2. Proprietary AI Service Metrics

Proprietary services present AI as a SaaS offering, but their reliance on open‐source “OS” models underscores the underlying architecture common to the entire ecosystem.

3. Comparative Insights

Conclusion & Direction

Generative AI today straddles an “OS vs. SaaS” paradigm. The open‐source models on Hugging Face form the indispensable foundation layer—akin to Linux or Android—enabling vast ecosystem innovation. Conversely, ChatGPT and Claude represent the SaaS layer, delivering turnkey experiences and capturing user‐facing value.

Future research and investment should prioritize: