Speaking to the "uncensored model" angle: there's little reason to distribute abliterated weights anyway. Instead of orthogonalising the weights that write back to the residual stream, you can just orthogonalise the activations themselves. It's equivalent.
Orthogonalising activations at runtime is computationally cheap. Just distribute the refusal vectors (few thousand floats per layer), then run against the stock weights. Antirez's DS4 already supports this: https://github.com/antirez/ds4/blob/8db1d1d155cb0400a86a86b9...
Abliterated weights are just a bad habit we've gotten into. It's also deeply suboptimal from a precision point of view to take a model that's already been QATed and distributed in pre-quantised form (DeepSeek V4, Kimi K2.5 or K3...), modify its weights, and re-quantise it. Similarly, abliterated models regain some of their refusal behaviour when they're re-quantised after abliteration -- avoidable by keeping the two separate.
I believe abliterated models are mostly still created at this point because they're "universal": they can not only be run locally, and on cloud GPUs, but also on "managed inference" providers (i.e. services where you hand them a model URI, and they blindly fetch it, load it, and give you inference access to it through standard text/chat-completion APIs. Think HuggingFace Spaces, or Google CoLab, or CloudFlare Workers AI.)
Such managed inference providers have (for now) plausible deniability of behaving ethically (at least enough that they don't get boycotted / scare away investors) due to them being "blind" to what gets run on their systems. They're acting as the inference equivalent of data transit carriers.
But I don't think it would be possible for managed inference providers to publicly expose "runtime activation steering" in the way antirez's DS4 does, without that reading much more explicitly as them inviting unethical workloads.
(Yes, there are other things you can do with runtime steering. But almost all of those things are workload-specific, relying on you privately tuning to the needs of your own dataset. And if you can do that, you can run inference without the help of a managed inference provider. The only time a customer will come along with a pre-made runtime-steering vector file in hand, is if that vector is an alignment-orthogonalization vector.)
Yeah I use a custom fork of llama.cpp that has an abliteration feature that basically does this. It's sloppily vibe coded and I don't have time to coordinate on a way to do this cleanly upstream, but it's absolutely possible and saves a lot of time and bandwidth from being wasted
That paper you linked has all of the information you need. The linear algebra they do on the weights there to null out one direction reduces to a single (dot-product + broadcast-multiply + add) on the activations.
I didn’t know about that method, thank you. I’ve needed a local model for security research but Qwen 27b abliterated did 30% worse than the stock weights on my internal benchmarks (I just skip the public benches now, it’s honestly useless noise on an operational level).
This is the original description of abliteration and it's quite approachable and interesting to read: Refusal in Language Models Is Mediated by a Single Direction (https://arxiv.org/abs/2406.11717). Warning: changes to your world view caused by seeing "HarmBench" used to maximise expected harm instead of minimising it may be irreversible.
There's an empirical observation that models often have a single direction in their activation space for "hmm no I shouldn't do this". It forms naturally during pre-training, and is then surfaced during post-training to make the model refuse to engage in certain behaviour.
With a little bit of linear algebra you can zap that direction from the model's activations, and it stops refusing to do things. You can also do the opposite: magnify that direction, and the model refuses to do anything at all.
Instead of editing the weights so they don't create the refusal signal, just let them do whatever, then delete the refusal signal itself. You don't want to edit quantised weights because it causes a loss of precision that can be pretty bad.
So... distribute a LoRA (or equivalent) that modifies the base weights with the abliteration vectors. That makes sense as it would be possible to try different abliterations and keep the storage space down.
Distributing the vectors themselves isn't (yet) common practice, because people have gotten used to just putting the full modified weights up on HuggingFace's huge free storage.
> Similarly, abliterated models regain some of their refusal behaviour when they're re-quantised after abliteration
Thanks for this information, Q4 seemed fine but they reappeared again in Q5 with an vengeance, I couldn't understand why. Very Strict and I've only found one jail break that barely works around 60% of the time.
Torrents should really be the preferred method for distributing AI model weights. Why rely on a single point of failure like Hugging Face? BitTorrent was made for exactly this.
In my experience public torrents often die as they grow older. It doesn't help that BitTorrent V1 makes long term seeding annoying, and BitTorrent V2 is almost never used.
I never understood this, is there anything that makes it difficult for the original uploader, the one that supposedly offers the file directly, to offer a torrent instead for the same amount of time?
As far as perennity is concerned it seems strictly better.
The biggest problem with BTv1 was the lack of per-file checksumming, and swarm merging (i.e. individual files have shared seeding pools across torrents). BTv2 specs the latter, but I think only BiglyBT actually implements it. Having both of those features from the get-go would've gone a LONG way to fixing the dead torrent problem.
HF is meant to be a single point of control. AI models and Linux distros aren't usually for normies, so distribution via torrents would make sense, especially to save the provider some bandwidth. Ubuntu has been offering torrent downloads for ages. No mention of torrents on HF. I believe most downloads will soon be account/EULA-walled.
ages ago I tried using IPFS to more or less accomplish this, I imagined it to act more like a weights/training data network fs that everyone would be able to participate in.
Once I was using Blizzard's downloader to install something (StarCraft, Diablo, I don't remember), and it was kinda slow. I disabled P2P downloads and speed skyrocketed, and I said "Huh, this was unexpected".
When P2P downloads disabled you could see the list of CDNs you're downloading from and mine had a single IP on that list. It looked familiar. Then it dawned on to me. It was the Akamai server which we were hosting in our system room, at 15 minutes of driving distance. After a chuckle, I went to get a cup of tea, because that was entertaining than the game itself.
Then of course, I dived into whatever I was installing that night.
Edit: From the screenshots in the wiki, I remembered that the progress bar was red. It was possibly Diablo 3, then. However, I'm still not 100% sure about it.
I've seen this used for distributing container images in networks with awkward network topologies (e.g. a lot of bandwidth within a site or sub-site but limited bandwidth to central registries)
Same here. Inspired by both, I used to delivery videos over torrent to in door machines since at that time, there's no CDNs (or it was difficult to get one).
Several companies tried this for distributing software.
It was very controversial. Users were angry that software companies were using their internet bandwidth to distribute their software. Made a lot of people angry.
Edit: Deleted. Been oversharing a bit re research I'm doing, and the payoff is replies from folks who haven't bothered to go and take a look themselves, which I then have to spend more cycles refuting, etc. So best to just go back to the first step and not overshare and recover the cycles I'd spend on the rest of it. Admittedly I'm tired and pissed off, but yeah. HN won't let me delete this so I guess it's just a deletion edit. Sorry.
This is really important. I am already tired of hoarding rclone copies of huggingface torrents and periodically checking them for bitrot. Pirateface is not a very helpful name for it though and it doesn't seem to have scripted torrent creation either.
Is hosting the same thing at 'academictorrents' actually a viable thing? In terms of peers from either send data to one another?
edit: looks like it can treat huggingface as a backstop for torrents that are otherwise not shared which is interesting, whole load of checksum nonsense I hand rolled disappear if bittorrent handles that. Except it doesn't work?
Magnet soon No seeders yet - a torrent mints once a seeder packages this model.
So there's some per-torrent work to be done, but I don't know what that is, and I don't see how it can be based on files I have locally _and also_ be an exact match to files on huggingface. So I'm missing something here.
edit2: Looks like an implementation error. I can create a torrent from local files and upload it, but it won't have the huggingface backstop, and I can't specify it, so that doesn't actually achieve the claimed result. Before creating community torrents in that fashion would actually be of use, the submission page needs to allow pointing at the upstream.
Also, having everyone DIY a set of files -> torrent information is insane, this should not be a SKILLS.md, it should be a bash script that makes the thing.
Why is the sign-up system so complicated? Why not just log into your HF account and be done? You're trying to force people to spam on X and HN so that their X and HN accounts get deleted?
This site could be useful also since there's been a recent trend of abliterated model providers demanding a hugging face account and email collection. I assume this is so the providers can spam people since there's not much other benefit. Hugging face had also been making it harder to sign up with disposable email addresses since they throw a weird error during sign up if they detect it. Anyway, I see a site like this being useful to sidestep all that data collection.
You did not have to call it “pirate”. That kind of set the negative tone for the website, and all the comments are looking at it with that view from the start. But it’s a great emoji Lego. I am working on something similar, mainly to make the download faster. I notice when you download these weights it will faster initially but very soon the throughput goes down after sometime.
Torrents always seemed like the more sensible way to distribute model weights.
Though I have been disappointed that most of these have been spurred on by the misleading claim that abliterated models were being taken down from HuggingFace because they removed an abliterated model. HF took one abliterated model down because the uploader was spamming people who requested access with sketchy requirements to pay for it.
Plus, there are a bunch of these types of sites, all of them have a couple of models and otherwise completely dead.
There's also the problem of catching malicious models that have been fine tuned to exfiltrate credentials. It would be nice to have means of checking hashes against the HF versions (or against other reputable sources). I'm guessing this is probably easy when just serving the same folder as what HF serves.
Edit: I should've scrolled down on the page, it does verify against the HF hashes.
I wish they had used a better name. Why try to make it sound sinister and adjacent to piratebay etc? It's not that these models are illegal to own or download.
Let's imagine that a model is pulled from HF by order of the new overlords or because of some other kind of censorship. Wouldn't the question of it having a Free license or not potentially become a complex legal issue?
But if the point is to be "censorship-free" then why respect licenses at all? They are among main choke points today. If authoritarians use licenses to censor political, artistic, scientific, etc., speech that they want to block, does that make the censorship more respectable?
When Anthropic sues a Chinese lab for IP infringement and get a court to put a bar on that software, does it THEN get pulled from Pirate Face?
I know that an awful lot of international negotiations have become focused more and more on questions of "IP" - licensing battles are already intensely politicized and it's hard to imagine a future where it doesn't get much much worse. Imagine N Korea coming after you for violating a license that they worked hard to control and leverage.
I’ve been wondering when this will come. The days are numbered for abliterated models to be published on HF I think. Why wouldn’t the government want a central control there?
If I search for 'uncensored' there are no torrents available. Uncensored models should be top priority, especially now that Nvidia owns HuggingFace and will enshittify the platform in accordance with upcoming US laws.
There are such results on huggingface tho. Also search for the keywords “abliteration” and “heretic”. Heretic is a tool used to abliterate, that is decensor, models
That was my my first search too. I know they are still listed on HF but every time I try and use one, the links are dead or the size is beyond my scope. Was hoping for a fresh batch. Ill check back.
Honestly, models are torrents will end any effort from the big AI labs to stop open models. No way to prevent weights from being shared, just like mobies. Genie is out of the bottle
great initiative, it's really weird seeing efficiencies get rediscovered in the LLM audience, because these efficiencies aren't even what I would consider to be old
Speaking to the "uncensored model" angle: there's little reason to distribute abliterated weights anyway. Instead of orthogonalising the weights that write back to the residual stream, you can just orthogonalise the activations themselves. It's equivalent.
Orthogonalising activations at runtime is computationally cheap. Just distribute the refusal vectors (few thousand floats per layer), then run against the stock weights. Antirez's DS4 already supports this: https://github.com/antirez/ds4/blob/8db1d1d155cb0400a86a86b9...
Abliterated weights are just a bad habit we've gotten into. It's also deeply suboptimal from a precision point of view to take a model that's already been QATed and distributed in pre-quantised form (DeepSeek V4, Kimi K2.5 or K3...), modify its weights, and re-quantise it. Similarly, abliterated models regain some of their refusal behaviour when they're re-quantised after abliteration -- avoidable by keeping the two separate.
I believe abliterated models are mostly still created at this point because they're "universal": they can not only be run locally, and on cloud GPUs, but also on "managed inference" providers (i.e. services where you hand them a model URI, and they blindly fetch it, load it, and give you inference access to it through standard text/chat-completion APIs. Think HuggingFace Spaces, or Google CoLab, or CloudFlare Workers AI.)
Such managed inference providers have (for now) plausible deniability of behaving ethically (at least enough that they don't get boycotted / scare away investors) due to them being "blind" to what gets run on their systems. They're acting as the inference equivalent of data transit carriers.
But I don't think it would be possible for managed inference providers to publicly expose "runtime activation steering" in the way antirez's DS4 does, without that reading much more explicitly as them inviting unethical workloads.
(Yes, there are other things you can do with runtime steering. But almost all of those things are workload-specific, relying on you privately tuning to the needs of your own dataset. And if you can do that, you can run inference without the help of a managed inference provider. The only time a customer will come along with a pre-made runtime-steering vector file in hand, is if that vector is an alignment-orthogonalization vector.)
Yeah I use a custom fork of llama.cpp that has an abliteration feature that basically does this. It's sloppily vibe coded and I don't have time to coordinate on a way to do this cleanly upstream, but it's absolutely possible and saves a lot of time and bandwidth from being wasted
Interesting. Is there a paper that explains this in a bit more detail, like [0] for abliteration (underlying the Heretic software, afaik)?
[0] https://arxiv.org/abs/2406.11717
That paper you linked has all of the information you need. The linear algebra they do on the weights there to null out one direction reduces to a single (dot-product + broadcast-multiply + add) on the activations.
I didn’t know about that method, thank you. I’ve needed a local model for security research but Qwen 27b abliterated did 30% worse than the stock weights on my internal benchmarks (I just skip the public benches now, it’s honestly useless noise on an operational level).
Can you explain this a bit to a non-expert?
I haven't wrapped my mind around this
This is the original description of abliteration and it's quite approachable and interesting to read: Refusal in Language Models Is Mediated by a Single Direction (https://arxiv.org/abs/2406.11717). Warning: changes to your world view caused by seeing "HarmBench" used to maximise expected harm instead of minimising it may be irreversible.
There's an empirical observation that models often have a single direction in their activation space for "hmm no I shouldn't do this". It forms naturally during pre-training, and is then surfaced during post-training to make the model refuse to engage in certain behaviour.
With a little bit of linear algebra you can zap that direction from the model's activations, and it stops refusing to do things. You can also do the opposite: magnify that direction, and the model refuses to do anything at all.
5 replies →
Instead of editing the weights so they don't create the refusal signal, just let them do whatever, then delete the refusal signal itself. You don't want to edit quantised weights because it causes a loss of precision that can be pretty bad.
So... distribute a LoRA (or equivalent) that modifies the base weights with the abliteration vectors. That makes sense as it would be possible to try different abliterations and keep the storage space down.
Yeah, orthogonalisation is a special case of a rank-1 LoRA.
2 replies →
Who is offering the refusal vectors or instructions on how to generate them?
Here's a widely used toolkit: https://github.com/p-e-w/heretic
Distributing the vectors themselves isn't (yet) common practice, because people have gotten used to just putting the full modified weights up on HuggingFace's huge free storage.
I am, in fact, I’m offering something much better, a compact format that exactly restores an abliterated model from a tiny JSON file:
https://www.reddit.com/r/LocalLLaMA/s/iksvmXBzuC
> Similarly, abliterated models regain some of their refusal behaviour when they're re-quantised after abliteration
Thanks for this information, Q4 seemed fine but they reappeared again in Q5 with an vengeance, I couldn't understand why. Very Strict and I've only found one jail break that barely works around 60% of the time.
Torrents should really be the preferred method for distributing AI model weights. Why rely on a single point of failure like Hugging Face? BitTorrent was made for exactly this.
In my experience public torrents often die as they grow older. It doesn't help that BitTorrent V1 makes long term seeding annoying, and BitTorrent V2 is almost never used.
I never understood this, is there anything that makes it difficult for the original uploader, the one that supposedly offers the file directly, to offer a torrent instead for the same amount of time?
As far as perennity is concerned it seems strictly better.
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The biggest problem with BTv1 was the lack of per-file checksumming, and swarm merging (i.e. individual files have shared seeding pools across torrents). BTv2 specs the latter, but I think only BiglyBT actually implements it. Having both of those features from the get-go would've gone a LONG way to fixing the dead torrent problem.
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You only need one person/organization to commit to seeding. The majority of people do not want to seed at all without some sort of incentive.
If this site represents a coordinated datahoarding effort then there will be at least a few people who will seed indefinitely.
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A torrent with a webseed is strictly more resilient than a direct download link alone.
I always wondered why v2 is never used... you can even search for files by their individual hash with it.
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HF is meant to be a single point of control. AI models and Linux distros aren't usually for normies, so distribution via torrents would make sense, especially to save the provider some bandwidth. Ubuntu has been offering torrent downloads for ages. No mention of torrents on HF. I believe most downloads will soon be account/EULA-walled.
Yeah, I thought they were used for this already. Surprised this is news, but also relieved.
IIRC Mistral used to do it, not sure if that's still the case
EDIT/ Yes they did, that no longer seems to be the case though
https://x.com/MistralAI/status/1833758285167722836
ages ago I tried using IPFS to more or less accomplish this, I imagined it to act more like a weights/training data network fs that everyone would be able to participate in.
Steam & Blizzard (probably others) used to delivery games through torrent protocol in the past, before CDNs became cheaper.
When StarCraft 2 was lauched, the installer (before Battle.net installer crapware) had a complete graphical visualization of seeders & leechers.
Reference: https://warcraft.wiki.gg/wiki/Blizzard_Downloader
Oh, story time:
Once I was using Blizzard's downloader to install something (StarCraft, Diablo, I don't remember), and it was kinda slow. I disabled P2P downloads and speed skyrocketed, and I said "Huh, this was unexpected".
When P2P downloads disabled you could see the list of CDNs you're downloading from and mine had a single IP on that list. It looked familiar. Then it dawned on to me. It was the Akamai server which we were hosting in our system room, at 15 minutes of driving distance. After a chuckle, I went to get a cup of tea, because that was entertaining than the game itself.
Then of course, I dived into whatever I was installing that night.
Edit: From the screenshots in the wiki, I remembered that the progress bar was red. It was possibly Diablo 3, then. However, I'm still not 100% sure about it.
Steam has a limited form of p2p delivery, used on LANs: https://help.steampowered.com/en/faqs/view/46BD-6BA8-B012-CE...
I've worked at trading firms where the "reference data master" file is usually a big json or equivalent.
To get the file out to 100s or 1000s of machine they would often use private bittorent to distribute the file out.
I've seen this used for distributing container images in networks with awkward network topologies (e.g. a lot of bandwidth within a site or sub-site but limited bandwidth to central registries)
Same here. Inspired by both, I used to delivery videos over torrent to in door machines since at that time, there's no CDNs (or it was difficult to get one).
As a private network, they have the option of multicast.
1 reply →
Several companies tried this for distributing software.
It was very controversial. Users were angry that software companies were using their internet bandwidth to distribute their software. Made a lot of people angry.
>software companies were using their internet bandwidth to distribute their software
If I understand the description correctly, microsoft still does this!
https://support.microsoft.com/en-us/windows/privacy/windows-...
1 reply →
If only Blizzard servers were seeders, and clients were only leechers, that'd have not been a problem.
2 replies →
Typical example to show that people who want to be angry will be angry, even for pointless things.
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Edit: Deleted. Been oversharing a bit re research I'm doing, and the payoff is replies from folks who haven't bothered to go and take a look themselves, which I then have to spend more cycles refuting, etc. So best to just go back to the first step and not overshare and recover the cycles I'd spend on the rest of it. Admittedly I'm tired and pissed off, but yeah. HN won't let me delete this so I guess it's just a deletion edit. Sorry.
> DS 4.1 Flash, which is unguardrailed
Try asking it about Tianmen Square. I use DS myself, but let's not kid ourselves.
For that specific query, just use US open weight model, oh...wait
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DS 4.1 Flash absolutely has guardrails. Maybe not ones as effective as some models.
The FBI doesn't come busting down your door for pirating a few movies (I'm sure someone will find a news article with this happening).
They will after a few incidents where unguardrailed local models are used to hack and stop the water supply.
ThePirateBay is tolerated. Market places where drugs/guns are sold are not, they are all infiltrated and shut down after a while.
>They will after a few incidents where unguardrailed local models are used to hack and stop the water supply.
This is irrational AI fearmongering. Please read https://sharptext.net/2026/some-of-all-fears/
> Market places where drugs/guns are sold are not, they are all infiltrated and shut down after a while.
might want to look up "gun show loophole"
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This is really important. I am already tired of hoarding rclone copies of huggingface torrents and periodically checking them for bitrot. Pirateface is not a very helpful name for it though and it doesn't seem to have scripted torrent creation either.
Is hosting the same thing at 'academictorrents' actually a viable thing? In terms of peers from either send data to one another?
edit: looks like it can treat huggingface as a backstop for torrents that are otherwise not shared which is interesting, whole load of checksum nonsense I hand rolled disappear if bittorrent handles that. Except it doesn't work?
So there's some per-torrent work to be done, but I don't know what that is, and I don't see how it can be based on files I have locally _and also_ be an exact match to files on huggingface. So I'm missing something here.
edit2: Looks like an implementation error. I can create a torrent from local files and upload it, but it won't have the huggingface backstop, and I can't specify it, so that doesn't actually achieve the claimed result. Before creating community torrents in that fashion would actually be of use, the submission page needs to allow pointing at the upstream.
Also, having everyone DIY a set of files -> torrent information is insane, this should not be a SKILLS.md, it should be a bash script that makes the thing.
I claimed the "forq" handle on Pirate Face.
Where Hugging Face AI models never die, and are immortalized as torrents.
Claim yours: https://pirateface.co/claim?ref=forq
Why is the sign-up system so complicated? Why not just log into your HF account and be done? You're trying to force people to spam on X and HN so that their X and HN accounts get deleted?
This site could be useful also since there's been a recent trend of abliterated model providers demanding a hugging face account and email collection. I assume this is so the providers can spam people since there's not much other benefit. Hugging face had also been making it harder to sign up with disposable email addresses since they throw a weird error during sign up if they detect it. Anyway, I see a site like this being useful to sidestep all that data collection.
What on earth is going on with all the spam in this thread? Is this how you claim a username?
Yes. This thing literally makes you spam HN in order to sign up. And for that reason this submission should be flagged.
That or X...
Arguably this should've been a thing since day 1 (and probably would've helped to prevent the buyout), but better late than never.
Hugging face seemed like buyout bait from day one.
The GitHub for models and AI. I remember.
When a business subsidizes for several years all its offerings, one can guess how it will end.
Which makes it more surprising that something like this didn't exist. I'm relieved it does though.
You did not have to call it “pirate”. That kind of set the negative tone for the website, and all the comments are looking at it with that view from the start. But it’s a great emoji Lego. I am working on something similar, mainly to make the download faster. I notice when you download these weights it will faster initially but very soon the throughput goes down after sometime.
The "pirate" name ensures that no company will buy it out later ;)
Piracy has a positive tone for me. It implies liberating information.
Mirror the magnet torrent links at AcademicTorrents if you’d like. They are just a collection of url strings after all.
https://academictorrents.com/
I'd support this if I didn't have to post to xitter to claim my username.
Really odd approach.
You can also use HN but your HN account will be either shadow banned or rate limited because then you are spamming.
Instead of telling people to post spam in the thread, they should do the same way that is done for example by these:
- https://meet.hn/
- https://book.keybase.io/account#adding-proofs
Those tell you to put a text in your HN profile “about” section.
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> The goal is permanence for open-source AI
My instinct is to correct this to “open weight”, because when I filter huggingface by open source[1], I get only one result.
Then again, this could be about long term goals so perhaps I’m wrong; I wouldn’t mind that.
[1]: https://huggingface.co/models?other=open-source-model&sort=t...
Torrents always seemed like the more sensible way to distribute model weights.
Though I have been disappointed that most of these have been spurred on by the misleading claim that abliterated models were being taken down from HuggingFace because they removed an abliterated model. HF took one abliterated model down because the uploader was spamming people who requested access with sketchy requirements to pay for it.
Plus, there are a bunch of these types of sites, all of them have a couple of models and otherwise completely dead.
There's also the problem of catching malicious models that have been fine tuned to exfiltrate credentials. It would be nice to have means of checking hashes against the HF versions (or against other reputable sources). I'm guessing this is probably easy when just serving the same folder as what HF serves.
Edit: I should've scrolled down on the page, it does verify against the HF hashes.
I hope GPT-3.5 will be released at some point. Would make me really sad if that gets lost at some point
I wish they had used a better name. Why try to make it sound sinister and adjacent to piratebay etc? It's not that these models are illegal to own or download.
That is pretty smart, torrent should have been used for more things, and this is a perfect usecase!
Let's imagine that a model is pulled from HF by order of the new overlords or because of some other kind of censorship. Wouldn't the question of it having a Free license or not potentially become a complex legal issue?
But if the point is to be "censorship-free" then why respect licenses at all? They are among main choke points today. If authoritarians use licenses to censor political, artistic, scientific, etc., speech that they want to block, does that make the censorship more respectable?
When Anthropic sues a Chinese lab for IP infringement and get a court to put a bar on that software, does it THEN get pulled from Pirate Face?
I know that an awful lot of international negotiations have become focused more and more on questions of "IP" - licensing battles are already intensely politicized and it's hard to imagine a future where it doesn't get much much worse. Imagine N Korea coming after you for violating a license that they worked hard to control and leverage.
I’ve been wondering when this will come. The days are numbered for abliterated models to be published on HF I think. Why wouldn’t the government want a central control there?
I can see all these old models hanging out and bitching about the newfangled models that think they're so great.
"Trillions of parameters? Trillion my ass. Back in my day we got by with millions. And now here we are, washed up has beens."
If I search for 'uncensored' there are no torrents available. Uncensored models should be top priority, especially now that Nvidia owns HuggingFace and will enshittify the platform in accordance with upcoming US laws.
There are such results on huggingface tho. Also search for the keywords “abliteration” and “heretic”. Heretic is a tool used to abliterate, that is decensor, models
That was my my first search too. I know they are still listed on HF but every time I try and use one, the links are dead or the size is beyond my scope. Was hoping for a fresh batch. Ill check back.
Honestly, models are torrents will end any effort from the big AI labs to stop open models. No way to prevent weights from being shared, just like mobies. Genie is out of the bottle
So begins the Merovingian and the Exiles..
Now I want GPT-4.5
great initiative, it's really weird seeing efficiencies get rediscovered in the LLM audience, because these efficiencies aren't even what I would consider to be old
but I guess they are
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I do not want AI to live forever though.