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).
| 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 |
| 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 |
Open-source AI in 2027 is the backbone of the global AI ecosystem. More at misar.blog.
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