Table of Contents
Quick Answer
- Hugging Face models hosted: 1.2M (HF 2027)
- Weekly downloads (top models): 4.8B (HF)
- GitHub AI repos: 3.4M (Octoverse 2027)
- Top open LLM: Llama 4 (180M downloads H1 2027)
- DeepSeek-V3.5 on HF: 84M downloads H1 2027
Key Open Source AI Statistics
Stanford HAI's 2027 AI Index notes 64% of new AI research releases publish open weights, up from 34% in 2023. Hugging Face hosts 1.2M models and 340K datasets. Linux Foundation's AI & Data projects include PyTorch (now the leading training framework, 71% of new models).
Market Data
Metric
2027 Value
Source
HF models
1.2M
Hugging Face
HF datasets
340K
Hugging Face
HF spaces
860K
Hugging Face
GitHub AI repos
3.4M
Octoverse
PyTorch share
71%
Stanford HAI
Llama 4 downloads
180M
Meta
Llama family cumulative
1.8B
Meta
DeepSeek-V3.5 downloads
84M
HF
Mistral models downloads
68M
HF
Qwen 3 downloads
72M
Alibaba
Top Open Models (H1 2027)
Model
Developer
Downloads
Llama 4 (all variants)
Meta
180M
DeepSeek-V3.5
DeepSeek
84M
Qwen 3
Alibaba
72M
Mistral Large 2
Mistral
46M
Phi-4
Microsoft
38M
Gemma 3
34M
Yi 2
01.AI
22M
Falcon 3
TII
18M
Ecosystem
- Open-source AI startups: 2,140 (CB Insights)
- Linux Foundation AI & Data projects: 64
- PyTorch contributors (2026): 12,400 (LF)
- Apache-2 / MIT licensed models on HF: 68%
- Contributors to top 10 open models: 2,840+ (GitHub)
Sources
- Hugging Face — 2027 Annual Stats
- GitHub Octoverse 2027
- Stanford HAI — AI Index 2027
- Linux Foundation — AI & Data 2027
- Meta — Llama Ecosystem Report 2027
- DeepSeek — Model Card / Downloads 2027
- Alibaba Qwen Team — Open Model Report 2027
- Mistral AI — 2027 Ecosystem Update
- CB Insights — Open-Source AI Startups 2027
- Epoch AI — Open Model Tracker 2027
FAQs
How many AI models on Hugging Face?
1.2M in 2027.
What's the top open LLM?
Llama 4 with 180M downloads in H1 2027.
Is PyTorch dominant?
Yes — 71% of new models use PyTorch.
How many open-source AI startups?
2,140 per CB Insights.
Does open source lead in 2027?
64% of new research releases publish open weights (Stanford HAI).
Conclusion
Open-source AI in 2027 is the backbone of the global AI ecosystem. More at misar.blog↗.