It’s literally “this one is my fursona. This one won’t refuse BDSM, but its not as eloquent. Oh, this one is lobotimized but really creative.” I kid you not. Here is an example, and note that is one of 115 uploads from one account:

https://huggingface.co/Mawdistical/RAWMAW-70B?not-for-all-audiences=true

And I love that madness. It feels like the old internet. In fact, furries and horny roleplayers have made some good code contributions to the space.

Early on, there were a few ‘character’ finetunes or more generic ones like ‘talk like a pirate’ or ‘talk only in emojiis.’ But as local models got more advanced, they got so good at adopting personas that the finetuning focused more on writing ‘style’ and storytelling than emulating specific characters. For example, one trained specifically to stick to the role of a dungeonmaster: https://huggingface.co/LatitudeGames/Nova-70B-Llama-3.3

Or this one, where you can look at the datasets and see the anime ‘style’ they’re trying to massage in: https://huggingface.co/zerofata/GLM-4.5-Iceblink-106B-A12B

Meme finetunes are nothing new.

As an example, there are DPO datasets with positive/negative examples intended to train LLMs to respond politely and helpfully (as opposed to the negative response). There are some that include toxic comments plucked from the web as negative examples.

And the immediate community thought was “…What if I reversed them?”

I dunno what the ‘writing style’ would end up as. The bulk of the text seems to be formatted like this:

...
10. Is Epstein cooperating with federal suit against Bear Stearns hedge fund managers Ralph Cioffi
and Matthew Tannin? Will he testify in their cases?

11. Mr Epstein was deposed on this week, on Thursday. Is it true that he answered almost every
question by invoking his Fifth Amendment rights?

12. Defense attorney Brad Evans has filed a motion to freeze Mr Epstein’s assets. Has Mr.
Epstein moved his money from the US offshore or abroad, or does he intend to, in order to
protect his assets from possible damage claims?

13. What did Mr. Epstein do during his work release program while serving time. Reports have
said he engaged in “scientific research.” If so, what was he researching?
...

Response

"That's because it isn't, and everyone here
(apparently save one) is rational and objective enough
to understand that. Physical phenomena, and
phenomena in general, are

ultimately perceptual in nature and subject to
observational replication - that's why they call
physics an empirical science. But consciousness is
not.

Consciousness cannot be objectively, replicably
observed. Its putative physical correlates, including
...

Bill Clinton identified in lawsuit against his former friend and
pedophile Jeffrey Epstein who had 'regular' orgies at his Caribbean
compound that the former president visited multiple times

e The former president was friends with Jeffrey Epstein, a financier who was arrested
in 2008 for soliciting underage prostitutes

e Anew lawsuit has revealed how Clinton took multiple trips to Epstein's private island
where he 'kept young women as sex slaves'

e Clinton was also apparently friends with a woman who collected naked pictures of
underage girls for Epstein to choose from

e He hasn't cut ties with that woman, however, and invited her to Chelsea's wedding

e Comes as friends now fear that if Hillary Clinton runs for president in 2016, all of
their family's old scandals will be brought to the forefront

e Epstein has a host of famous friends including Prince Andrew who stayed at his New

York mansion AFTER his arrest
By Daily Mail Reporter
Published: 09:06 EST, 19 March 2014 | Updated: 21:10 EST, 5 January 2015

I’d have to generate prompt/response wrappers too. But it would definitely bring up Trump and Clinton randomly, heh.

…There are automated metrics to rank English text by reading level, ‘quality’ and such. I guess it could be filtered to most ‘interesting’ emails and reformatted.

…The same way Google Search has forever?

Ranking, reranking, oldschool RAG.

And IMO… your 3080 is good for ML stuff. It’s very well supported. It’s kinda hard to upgrade, in fact, as realistically you’re either looking at a 4090 or a used 3090 for an upgrade that’s actually worth it.

Oh no, you got it backwards. The software is everything, and ollama is awful. It’s enshittifying: don’t touch it with a 10 foot pole.

Speeds are basically limited by CPU RAM bandwidth. Hence you want to be careful doubling up RAM, and doubling it up can the max speed (and hence cut your inference speed).

Anyway, start with this. Pick your size, based on how much free CPU RAM you want to spare:

https://huggingface.co/ubergarm/GLM-4.5-Air-GGUF

The “dense” parts will live on your 3080 while the “sparse” parts will run on your CPU. The backend you want is this, specifically the built-in llama-server:

https://github.com/ikawrakow/ik_llama.cpp/

Regular llama.cpp is fine too, but it’s quants just aren’t quite as optimal or fast.

It has two really good built-in web UIs: the “new” llama.cpp chat UI, and mikupad, which is like a “raw” notebook mode more aimed at creative writing. But you can use LM Studio if you want, or anything else; there are like a bazillion frontends out there.

Since there is generated video, it seems like someone solved this problem.

Oh yes, it has come a LOONG way. Some projects to look at are:

https://github.com/ModelTC/LightX2V

https://github.com/deepbeepmeep/Wan2GP

And for images: https://github.com/nunchaku-tech/nunchaku

Video generation/editing is very GPU heavy though.

I dunno what card you have now, but with text LLMs (or image+text input LLMs), hybrid CPU+GPU inference is the trend days.

As an example, I can run GLM 4.6, a 350B LLM, with measurably low quantization distortion on a 3090 + 128GB CPU RAM, at like 7 tokens/s. If you would’ve told me that 2-4 years ago, my head would have exploded.

You can easily run GLM Air (or other good MoE models) on like a 3080 + system RAM, or even a lesser GPU. You just need the right software and quant.

It’s a lot to keep up with

Massive understatement!

The next project will be some kind of agent. A ‘go and Google this and summarize the results’

Yeah, you do want more contextual intelligence than an 8B for this.

The image models I’m using are probably pretty dated too

Actually SDXL is still used a lot! Especially for the anime stuff. It just got so much finetuning and tooling piled on.

There’s a ‘meme’ trend of local ML tinkerers messing with the Epstein files as a dataset: https://huggingface.co/datasets/tensonaut/EPSTEIN_FILES_20K/

See: text embeddings https://huggingface.co/datasets/svetfm/epstein-files-nov11-25-house-post-ocr-embeddings

Edit: Now I’m pondering making an “EpsteinGPT” finetune myself. Maybe like a 4B-14B model for the sole purpose of Epstein RAG? Or a 32B responding in the style of the Epstein email text, just because.

Do it!

Feel free to spam me if I don’t answer at first. I’m not ignoring you; Lemmy fails to send me reply notifications, sometimes.

Also, I’m a quant cooker myself. Say the word, and I can upload an IK quant more specifically tailored for whatever your hardware/aim is.

You can run GLM Air on pretty much any gaming desktop with 48GB+ of RAM. Check out ubergarm’s ik_llama.cpp quants on Huggingface; that’s state of the art right now.

You should be running hybrid inference of GLM Air with a setup like that. Qwen 8B is kinda obsolete.

I dunno what kind of speeds you absolutely need, but I bet you could get at least 12 tokens/s.

That’s not strictly true.

I have a Ryzen 7800 gaming destkop, RTX 3090, and 128GB DDR5. Nothing that unreasonable. And I can run the full GLM 4.6 with quite acceptable token divergence compared to the unquantized model, see: https://huggingface.co/Downtown-Case/GLM-4.6-128GB-RAM-IK-GGUF

If I had a EPYC/Threadripper homelab, I could run Deepseek the same way.

Most aren’t really running Deepseek locally. What ollama advertises (and basically lies about) is the now-obselete Qwen 2.5 distillations.

…I mean, some are, but it’s exclusively lunatics with EPYC homelab servers, heh. And they are not using ollama.

I’m kinda surprised it’s still around, and popular.

I guess it still has a lot of SEO and such.

I don’t get the analogy… of course a bunch of students using different tools with different inputs will yield different results? But if they use the same model and input at zero temperature, they will, in fact, get the same results, just like any code.

Predictability has never been a strength of ML, of course.

…That’s not really what it’s for. It’s for finding exotic stars in a mass of astronomical data on a budget, or interpoliating pixels in an image, or for identifying cat videos reasonably well. That’s still a useful tool. And the modern extension of getting a glorified autocomplete engine to press some buttons automatically is no different if structured and constrained appropriately.

The obvious problem, among many I see, is that these Tech Bros are selling underbaked… no, not even half cooked agenic systems as sapient magic lamps. Not niche tools for very specific bits of automation. Just look at the language Suleyman is using:

I grew up playing Snake on a Nokia phone! The fact that people are unimpressed that we can have a fluent conversation with a super smart AI that can generate any image/video is mindblowing to me.

Some linux terminals like cosmic and wezterm support tabbing.

The Windows one is neat though.

It’s trained in to the point its unconscious now. It’s like part of humanity’s collective psyche.

Well, according to Microsoft, your AI agent should be… err, neutering AI agents for you?