Artificial Intelligence · 03.08.2026, 14:18 UTC
Introducing our Artifacts Hub and Adoption Dashboard
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | Interconnects (Nathan Lambert) ↗ |
| Veröffentlicht | 03.08.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
No voiceover for this quick post, but a quick video version is here.We’re expanding our open models coverage into standalone projects that let you go deeper on the state of the open model ecosystem. The new free sources of data are:The Artifacts Hub — a curated view of the models trending on Hugging Face, highlighting inference tokens via Open Router, model intelligence via Artificial Analysis, and our tailored adoption metrics building on top of Hugging Face’s data.Our Adoption Dashboard — a living dashboard of download and derivative model numbers by geography and organization. This highlights the US-China gap and growing players in the open ecosystem.To date, our primary efforts on Interconnects have been release recaps for popular models like Kimi K3, GLM 5.2, DeepSeek R1, etc. and monthly round-ups of the open models that matter, Artifacts Log. We’re expanding on these, building on the tools and internal data we’ve collected for other projects like The ATOM Project (and report). This allows us to capture our ecosystem view of open models, develop methods for understanding adoption of giant MoE models, and everything in between. We’re sharing them freely to help the open ecosystem find its strengths and grow.Visit the Artifacts HubThe Artifacts Hub right now covers 792 models released in the last two years, across the core text-focused language models and multimodal generative models. At Interconnects we follow the data of every model on Hugging Face, analyze the core few thousand LLMs (this list is public on GitHub and regularly updated), and hand select these core …