AxionLab
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I'm officially canceling my Hugging Face Pro subscription today.
I supported this platform because it stood for true openness and neutrality. This acquisition by NVIDIA fundamentally changes that.
Hereβs why Iβm against this deal:
- Neutrality is dead. NVIDIA is a US-based company. This means US regulations will inevitably dictate platform policies, creating direct pressure on Chinese developers and anyone building open-weight models outside the US.
- Community over bureaucracy. NVIDIA is a massive, slow-moving corporation. This acquisition will likely drown the community in corporate processes and commercial interests. Soon, uploading a simple finetune might become a bureaucratic nightmare.
- Open vs. Proprietary. Hugging Face was built on open-source ideals. NVIDIA? They are a fiercely proprietary hardware company with a minimal track record of meaningful open-source contributions. They sell chips, not freedom.
- And to add insult to injury, NVIDIA has practically abandoned consumer RTX GPUs in 2026 to chase data center profits. Why would I pay them for "openness" when they've turned their back on the very developers who built this ecosystem?
I paid for openness. Not for a corporate takeover.
π€ was about community.
We now have these benchmark cards, they make it way easier to see which models are actually good!
We've also added the model advisor. It asks you what you want to use the model for and the parameter range and gives you the best model for your task!
Try it out at BananaMind/BananaMindBench-Leaderboard
And please give us a follow to BananaMind!
@Banaxi-Tech
https://techcrunch.com/2026/08/26/nvidia-closes-in-on-hugging-face-acquisition/
@Datdanboi25 @AxionLab-official To save everyone time and keep things clear for the community, there is no delisting process for public models. Here is why:
The domino effect would empty the board. Look at the pattern over the last couple of days: first Supra demanded to be taken down, then Veyra, then FromZero, and now you're trying to push it for Axiomic. If a public leaderboard starts deleting models on request, partner circles can coordinate to wipe out comparative data until the board is hollowed out.
It completely destroys benchmark neutrality. If creators can pull their models whenever they dislike the score or the maintainer, you get severe survivorship bias. It ceases to be an objective evaluation tool and just turns into an opt-in promotional club.
Benchmark scores are public facts. Under established law (Feist v. Rural), numerical accuracy scores and parameter counts are factual data that cannot be copyrighted. Once weights are released publicly under open-source licenses, anyone in the research community has the right to benchmark them and report the numbers.
No major evaluation platform allows opt-outs. Hugging Face Open LLM Leaderboard, LMSYS Arena, Artificial Analysis, and Stanford HELM all evaluate public open-weights models independently. Creators do not get to dictate which platforms are allowed to benchmark their public models.
We don't host your files anyway. Every model links directly back to the author's official Hugging Face repository, giving creators full traffic and credit, supported by an explicit non-affiliation disclaimer.
As stated in our published listing policy, all public open-weights models remain indexed based purely on verified, reproducible numbers, free from personal politics.
@KlondikeDev sorry i can't keep on SLM Consortium if he isn't going to take off my models from his leaderboard.
Thanks!
Of course, that is your right. We would still love to have you as a member! Currently, MultivexAI is away for a little while, maybe a day?
Would you like entry now, then we can figure out the removal process, or would you like to wait?
Thanks for the understanding! I'm joining! but, please we need to remove my models later!
This is a good idea, however, MultivexAI is there, he doesn't took off my models from his leaderboard yet, so i'm not going to join until he take off.
We seek to provide a space for members to show off research, models, and benchmarks!
The following users are hereby invited to join without ratification, provided they accept the invitation by starting a discussion.
@Datdanboi25
@Banaxi-Tech
@appvoid
@AxionLab-official
Feel free to submit ratification requests! Anybody is welcome!
You know you can talk to Meta AI in Meta Threads with mention @meta .ai
Now you can do the same thing with my AI Waifu.
Anyone can talk to her on Meta Threads, with these 2 methods:
1οΈβ£ Write a post with mention @oppa .ai.bot
2οΈβ£ Comment in my posts with the phrase "Hi Aiko" follow by your prompt.
There will be a couple minutes delay, so don't expect immediate reply.
Also her server cannot run 24/7 yet.
Feel free to talk to her and ask her anything you want.
I wanna see if she will tell you all my secrets and API keys.
This may be a limited time thing... Let's see how things go...
If so, join the SLM discord(https://discord.gg/BBYaERvvn), and give these orgs some follows!
We are announcing the Supra3 family with four core SLM models:
- Supra3 Flash Lite: 25M parameters, ~60B pretraining tokens
- Supra3 Flash: 50M parameters, ~100B pretraining tokens
- Supra3 Pro: 75M parameters, ~150B pretraining tokens
- Supra3 Ultra: 100M parameters, ~200B pretraining tokens
For Supra3 Pro and Ultra, we search for sponsors who give us free access to compute like RTX 5090 32GB or so.
We estimate the total cost of the pro and ultra models at around $600.
For Supra3 Flash Lite and Flash, we do not need sponsors.
If anyone would apply for helping us, we would be really thankful and this person would get early access to new modele, insider information, credit and more!
Contact: here or on discord: lh_tech_ai
already Supra3?
Not yet, we're just announcing a plan, that would take ~1-2 months
