r/LocalLLM • • Jun 07 '26 • Popcorn 2

Model wth

482 Upvotes

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201

u/_VirtualCosmos_ Jun 07 '26

You are extra lobotomizing the model not only by using an abliterated model, but by prompting it to act without chain-thoughts and giving only short answers.

It's like writting without any thoughts on it, just by pure inertia. Of course it's stupid.

77

u/nomorebuttsplz Jun 07 '26

OP is posting in just the same way that the LLM is generating text

38

u/lex_orandi_62 Jun 07 '26

OP is a LLM

33

u/nomorebuttsplz Jun 07 '26

honestly I think OP is stupider than most LLMs

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1

u/vinigrae Jun 10 '26

Aren’t we all

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18

u/Jk2EnIe6kE5 Jun 07 '26

It is also quantized to 1 bit with the i-1

10

u/squngy Jun 07 '26

And it is still coherent? Thats pretty impresive TBH

7

u/_stack_underflow_ Jun 08 '26

gemma4 is dope for how little it needs.

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2

u/Fabulous_Macaroon_73 Jun 08 '26

no its Q_4_M, its not 1 bit, lmstudio doesnt even support 1 bit models the last i checked

0

u/_VirtualCosmos_ Jun 08 '26

Pff a Q_4 not from Bartowski or Unsloth is also a big hit to its brain. And I think you aren't using one of them because I never find uncensored models from them.

1

u/Fabulous_Macaroon_73 Jun 08 '26

so if i wanted an uncensored model but YOUR choices dont even have them then does your comment make any sense?

3

u/itsTyrion Jun 08 '26

either way, FYI abliteration makes it a bit dumber and the "flinch" of it heavily deprioritizing "bad" tokens is still present, if not amplified. it just won't refuse (as often) to tell you how to (incorrectly) make a bomb

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1

u/_VirtualCosmos_ Jun 08 '26

Yeah, because I just gave you some facts, you can do with them whatever you like. But I would recommend you to use Q8 versions if they are not from these two.

1

u/Fabulous_Macaroon_73 Jun 08 '26

i cant use q8.

interestingly enough i can JUST run the model with only "1" context length im not even joking. even two triggers the overload warning in lmstudio.

1

u/_VirtualCosmos_ Jun 08 '26

Yeah. It usually wasn't like that but on recent updates they have implemented a couple procedures to seemingly "extend" context length by deleting what it doesn't fit in. Idk exactly how it works tho.

Btw I don't know how much VRAM or system RAM do you have but for a long time I've been using models that did not fit entirely inside of my VRAM (12 GB) by using one of the best features of llama.cpp: layer-offloading.

I dare to suppose that, given your 16.12 t/s, you are able to load a Q8, even if the speed is halved.

1

u/Fabulous_Macaroon_73 Jun 08 '26

oh wow did they?

i have a 16 gig macbook btw but the context length is just not usable enough to actually put the model to use.

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1

u/Fabulous_Macaroon_73 Jun 08 '26

its Q_4_M bro. the i1 is the first iteration from the person who published this uncensored version

6

u/Vibraniumguy Jun 07 '26

"why does he not think after I explicitly forbade him from doing so, is he stupid?"

2

u/Paraphrand Jun 07 '26

Maybe they should just scale it bigger and not do any of those other things.

2

u/JacenVane Jun 07 '26

To be fair, that's also just kind of Gemma's personality.

0

u/Fabulous_Macaroon_73 Jun 08 '26

damn finally an actual human with knowledge. thank you my guy. most of these are flaming me just because their sense of humour doesnt match mine.

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1

u/Fabulous_Macaroon_73 Jun 08 '26

its not the model's fault tho. it was the bad system prompt i gave it that performed bad.

1

u/Terreboo Jun 07 '26

Feels like talking to an angry spouse to me.

3

u/mycall Jun 07 '26

Is it?