Ok, how come these public utility databases are owned to be sold like that eg gitgub, twitter without any regulator pushback? Oh yea...
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Anybody got a good list of models we should download right now before they start disappearing?
The core llama.cpp maintainers also work at HF and will now work for Nvidia I guess. Llama.cpp is a pretty significant part of the local LLM stack, especially since other tools like Ollama and LMStudio are just GUIs built on top.
Local LLMs have gotten to the point where they are a serious threat to Anthropic and OpenAI, and Nvidia has a lot of skin in the game. If Nvidia wanted to do some serious damage to local LLMs, they are now in a position to do so.
Iβm also imagining they may try to squeeze out support for other GPU vendors. Iβm using an AMD 7900 XTX to run Qwen 3.8 27B that I downloaded from HF to run on llama.cpp, which currently works like a dream. The 7900 XTX is the only sanely priced 24GB GPU left in 2026 (under $1k vs. $2k, $3k, $4k for Nvidia 24-32GB cards). Combined with OpenCode or Pi, a setup like this basically eliminates the need to use Anthropic or OpenAI products in the same way Jellyfin eliminates the need to use streaming services.
Iβm sure Nvidia and their buddies donβt like one thing Iβve said in this comment and may very well be plotting to put a stop to it, so the community may need to step up our game and get our eggs out of the big tech basket.
Well the good news is they can't take away from you what you already have. It being an open source project, I'm assuming if they do anything to deliberately gut AMD performance, it'll get forked.
Also
The 7900 XTX is the only sanely priced 24GB GPU left in 2026 (under $1k vs. $2k, $3k, $4k for Nvidia 24-32GB cards).
Not on sale anymore, at least not at any vendor in my country, I searched an aggregate pricing website. Amazon has a few used ones left of some models, but that's probably a 2 or 3 digit figure across SKUs. Hold on to yours with an iron grip.
What kind of tok/s are you getting with it on Qwen 3.8 27B and how's the output quality? I may consider getting one if I can find one used or import from abroad.
The core llama.cpp maintainers also work at HF and will now work for Nvidia I guess. Llama.cpp is a pretty significant part of the local LLM stack, especially since other tools like Ollama and LMStudio are just GUIs built on top.
I guess that explains why features like quantized KV caches are lagging behind. Maintainers are purposely dragging their feet.
the community may need to step up our game and get our eggs out of the big tech basket.
The community has chosen to not fight at all, which is worse. Anti-AI sentiment is at an all-time high.
Publicly. Privately, these hypocrites still whisper in ChatGPT's ear when they get lazy enough. Or use some feature in Photoshop or some other software that they didn't even understand was AI-driven.
Remember, the whole AI scheme exists to take the very concept of ownership from us. This takeover is hostile.
Why do we need a centralized hub for AI models anyway? I've never figured this out. We flock to these big "friendly" fucking companies with obviously unsustainable business models trying to own and sell things that should be shared in a decentralized, democratized mesh anyway. AI models should all be distributed magnet links, not hosted files. Why do we do this to ourselves?
The way things are going at Huggingface now, I imagine we probably will have to start building the infrastructure we need to handle AI models as distributed links sooner rather than later. Let the enshittification begin, we'll move on to a different tactic for sharing AI models while cheerfully they squeeze cash out of people and businesses too lazy to adapt. Everything working as it should, I guess.
For real, this is the perfect application for torrent. If I were building a registry that had to have sustainable cost for an open source community it would use torrents as a file transfer backend. If I were building something that I was planning to sell to a monopoly firm that has monopoly money... HTTP and cloud storage all thw way! π
They should put up a back up torrent of all the currently available models before transferring ownership. Thus opening the doors for future websites.
NVIDIA is probably trying to shutdown the LLM-at-home market (which means you don't need huge clouds of graphics cards or even an Internet connection). Sad day for people who like to control their data.
I heard somewhere they are buying it because their own development platform sucks. So they are going to replace it with hugging face.
Which doesn't preclude them from locking all the good stuff behind a subscription, of course.
So they are just slapping random price tags on things now. It's a database of AI questions. They have paid 13 billion dollars for a database, and everyone's acting like that's a perfectly rational sensible thing to do. No one in the financial industry has any sense anymore.
A company that's only product is something that people either don't want or actively hate has paid an eye-watering amount of money for a database to train their product on, this training will have no effect whatsoever on whether people want it.
I have this nice bridge with lots of training examples if anybody's interested, 100 trillion dollars please
for a database to train their product on
Isn't hugging face a database of already trained models?
Pick up as many uncensored models as you can store ASAP. Those will absolutely be the first to go.
We just can't have nice things can we.
HuggingBay to the rescue π΄ββ οΈ
You wouldnβt pirate a model
I fail to understand the use of the term open source when the resource itself can be bought by oligarchs. Like organic vegetables, or clean coal.
Get ready for the model purge
Is there something unique about hugging face that the models cannot be hosted elsewhere? I see open source as more important to Nvidia than anyone else because it sells hardware. The servicesβ motivations are only partially aligned with Nvidia.
I think it's mainly just the huge amount of storage. Huggingface has been burning venture capital money for the insane among of storage space they need, afaik
I would be less concerned about it being the end of uncensored models than I would be Nvidia finding ways to make sure there are no free models hosted there that work well on anything but Nvidia hardware for the foreseeable future.
The Spark isn't a bad computer, and they haven't completely gotten rid of local GPUs, so Nvidia does somewhat care about local llms, but power corrupts and this is just more of it.
Real money or pretend AI money
Ahhhh, this is what they meant by "the circular economy"
ELI5 huggingface?
Its a big box of toys but replace the toys with downloadable AI models and the box is a website
I know huggingface. I don't know of anything they sell, though.
My question is what their motivation is.
- Do they want to close down open models so more is directed at the frontier/closed companies (OpenAI/Anthropic)?
- Or are they trying to diversify and push open models as a safety net for when the bubble bursts
The latter sounds like the smarter move, so it's probably the former.





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