Hugging Face
The hub where open machine learning models and datasets are hosted
1/3Hugging Face runs the Hub, the place most open machine learning models and datasets are published, versioned and downloaded from. Repositories are Git-based, so models and datasets are cloned, branched and pull-requested like code, and a dataset viewer lets you inspect data in the browser before pulling it. Spaces host runnable demos built with Gradio or Docker, including GPU-backed ones through ZeroGPU. Alongside hosting it sells inference: Inference Providers routes calls to third-party model hosts, and Inference Endpoints deploys a model to dedicated infrastructure. Team and Enterprise plans add SSO, audit logs, resource groups, storage region control and SCIM provisioning, and storage is billed per terabyte with egress and CDN included.
- Git-based repositories for models, datasets and Spaces
- Dataset viewer for inspecting data in the browser
- Spaces host runnable demos built with Gradio or Docker
- ZeroGPU gives Spaces GPU compute with a usage quota
- Inference Providers routes calls to third-party model hosts
- Inference Endpoints deploys a model to dedicated infrastructure
- SSO, audit logs, resource groups and storage region control
- Per-terabyte storage pricing, with egress and CDN included
Based on what people have said
Every answer links back to the mentions it came fromWhat is the primary purpose of Hugging Face?
Hugging Face serves as a central hub for discovering, downloading, and sharing open-source machine learning models and datasets. It functions similarly to GitHub for AI, providing a repository for model artifacts and offering features like Spaces for running and comparing model demos.
7 mentions · r/LocalLLM · @GingerLGaetz · r/artificial · Hacker News · Hacker News · Hacker News · and 1 more · Aug 2026
What concerns do users have regarding the platform's neutrality and future?
Many users express concern that an acquisition by a hardware manufacturer could compromise the platform's neutrality. Some fear that the platform might prioritize optimization for specific hardware, restrict access to certain types of models, or shift toward a more restrictive, enterprise-focused business model. Conversely, some suggest that the platform's value lies in its utility and that if it were to change negatively, the community would quickly migrate to alternatives or use decentralized methods like torrents.
14 mentions · r/LocalLLM · r/LocalLLaMA · r/hardware · Hacker News · r/artificial · r/artificial · and 5 more · Aug 2026
How do users perceive the reliability and security of the platform?
The platform's security has been questioned following reports of cyberattacks and unauthorized access to its infrastructure. Some users have raised concerns about the potential for version control to be manipulated or for malicious changes to be introduced to the platform without detection.
6 mentions · r/ArtificialInteligence · r/technology · r/technology · r/BetterOffline · Aug 2026 – Sep 2026
What are the common criticisms regarding the platform's usability and business model?
Users have noted that the internal search functionality is not easy to use. Regarding its business model, some observers question the sustainability of the platform's current approach, noting that it is often viewed as a file hosting service and questioning whether it can remain profitable without significant changes to its billing or subscription structures.
6 mentions · r/StableDiffusion · Hacker News · r/hardware · r/technology · Hacker News · Hacker News · Aug 2026
These summarise counts and dates only. Read the quotes themselves under what people are saying.
What people are saying about Hugging Face
48% neutral“Is there a difference between the VOXCPM2 web demo on hugging face and running it locally.”
“Great new LocalAI model tune of Qwen designed to improve creating writing - Smashing download stats on Hugging Face.”
“My initial idea was to embed a Gradio hugging face space into my GitHub site. Only problem is, I learnt that to do that I need to buy Hugging Face Pro.”
“arXiv complete corpus is uploaded to Hugging Face as dataset.”
“Qwen-Image-2.1 is out on Hugging Face”
“Remember, that users don't have to get models from Hugging Face, they can just as easily download from kimi dot com or llama dot com etc (wherever the publisher places the canonical versions).”
“Depends on how much VRAM you have for local models. These will all do NSFW without jailbreaks”
“whats a good nsfw rp in hugging face is good? and free”
“@emollick Hugging Face was hacked 2 months ago. Mythos found a decades old bug to escalate to admin privilege in a Linux server back in March.”
“NVIDIA buying Hugging Face is almost like saying "take the model from me, also take the hardware from me"”
“If you’re interested in open-source AI, you’ll probably end up spending some time on Hugging Face. There’s a huge ecosystem of models, datasets, demos, discussions, and learning resources.”
“Won't another hugging face platform just take its place?”
“For Hugging Face to remain valuable they must leave things as they are. To remain neutral and avoid tampering with the platform.”
“Like a lot of you, I wasn't super happy to learn about what happened to Hugging Face. Any models in particular you think I should grab before they (maybe) get removed?”
“4.5 billion TikTok videos just landed on Hugging Face.”
“Hugging Face the company that just got AI hacked by a system that was supposed to be in quarantine, and Nvidia just paid 13 billion dollars for them 💀”
“They’re literally the biggest contributors of open models and datasets on hugging face”
“Hugging Face and @Thom_Wolf cannot stop winning, first the acquisition and now this comment lol”
“From what I understand hugging face was the biggest hurdle that Nvidia had in terms of complete control of the AI market. It seems like they’re trying to position themselves as the only player in this bubble.”
“Anyone have experience with Hugging Face?”
“I’m starting to explore Hugging Face — what should I learn first?”
“The real issue is Nvidia controlling hugging face, forget about uncensored models.”
“My concern ain't what NVIDIA says they'll do right now, but more so towards whether their neutrality is going to last as competition between GPU vendors increase.”
“If Hugging Face stays compute-agnostic, this gives open models more resources to compete globally rather than less.”
“I don’t know how long hugging face could have gone on its own but it’s an invaluable resource for anyone working with open-weight models.”