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/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>102937407 & >>102928840

►News
>(10/22) genmoai-smol allows video inference on 24 GB RAM: https://github.com/victorchall/genmoai-smol
>(10/22) Mochi-1: 10B Asymmetric Diffusion Transformer text-to-video model: https://hf.co/genmo/mochi-1-preview
>(10/22) Pangea: Open-source multilingual multimodal LLM supporting 39 languages: https://neulab.github.io/Pangea
>(10/21) IBM releases Granite 3.0: https://hf.co/collections/ibm-granite/granite-30-models-66fdb59bbb54785c3512114f
>(10/18) New research, models, and datasets from Meta FAIR: https://ai.meta.com/blog/fair-news-segment-anything-2-1-meta-spirit-lm-layer-skip-salsa-lingua

►News Archive: https://rentry.org/lmg-news-archive
►Glossary: https://rentry.org/lmg-glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/lmg-lazy-getting-started-guide
https://rentry.org/lmg-build-guides
https://rentry.org/IsolatedLinuxWebService

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
Chatbot Arena: https://chat.lmsys.org/?leaderboard
Censorship: https://hf.co/spaces/DontPlanToEnd/UGI-Leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench
Japanese: https://hf.co/datasets/lmg-anon/vntl-leaderboard
Programming: https://livecodebench.github.io/leaderboard.html

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler visualizer: https://artefact2.github.io/llm-sampling

►Text Gen. UI, Inference Engines
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/lmg-anon/mikupad
https://github.com/turboderp/exui
https://github.com/ggerganov/llama.cpp
>>
►Recent Highlights from the Previous Thread: >>102937407

--Papers:
>102937452
--Nemotron 70B surpasses Mistral Large in RP capability:
>102944172 >102944417 >102944487 >102944373
--AnthropicAI's Claude 3.5 outperforms other models in Aider's code editing benchmark:
>102939562
--Frustration with llama.cpp's lack of multimodal support and PyTorch hate discussion:
>102944549 >102944634 >102944769 >102944871 >102944952 >102945044 >102944841 >102944999 >102945039
--First attempt at reverse-distilling RP strengths into bigger model, but non-deterministic sampling causes issues:
>102939922 >102940058
--Character.AI faces lawsuit after teen's suicide, raising concerns about AI chatbot dangers:
>102939593 >102939754 >102940181 >102940221 >102941849 >102944460 >102944489 >102944640 >102944914 >102945034 >102945069 >102945188 >102945283 >102944679
--Users appreciate the natural and conversational tone of the new Sonnet 3.5 writing style:
>102940535 >102940551 >102940582 >102940611 >102940661 >102940730 >102940743
--Transluce aims to explain complex systems with AI-driven tools:
>102945489 >102945550 >102945623 >102945657 >102945719 >102946273 >102945916
--Tips for writing well-written character cards:
>102937846 >102937889 >102937920 >102937980 >102938056 >102937902 >102937963 >102938054 >102938369 >102941240 >102941419 >102941349
--Performance hit in llama.cpp update, investigation needed:
>102944566 >102945058
--Microsoft Research releases bitnet.cpp for 1-bit LLMs with optimized kernels and energy reductions:
>102944425 >102944444 >102944623
--Improving gpt-sovits and TTS performance on GPU:
>102940638 >102940680 >102940687 >102940770 >102940755 >102940962
--Guide to setting up GPT-SoVITS-v2-240807 for inferencing:
>102942298 >102942328 >102942425
--Miku (free space):
>102940500 >102943797

►Recent Highlight Posts from the Previous Thread: >>102937411

Why?: 9 reply limit >>102478518
Fix: https://rentry.org/lmg-recap-script
>>
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INTELLECT-1 is at 20.95% complete, up from 18.89% two threads ago thread.
>>
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using mixtral limarp zloss.
Thoughts?
>>
>>102947758
Too many samplers. I doubt you can reason on the effects those are having on the logits.
>>
nemotron had that llama1 65b soul, anyone agree?
>>
>write a 8k character long (few thousand tokens) description and entire history with your crush
>you can now try unlimited amount of scenarios with her
>>
>>102947841
I'm sure she'd be impressed. Give her a call.
>>
>>102947864
I don't have the balls. She's my sister.
>>
>>102947864
He needs to simulate that call first. Also he should record the call so that if the crush says something the LLM didn't predict he can modify it to more accurately simulate conversations with his sister.
>>
>200 replies into a chat
>bot's personality evaporated entirely
>they start to speak almost exclusively using the same handful of phrases over and over
>tongue darts out to lick your pulse point
How do I prevent this from happening? Its depressing whenever it does.
>>
>>102947824
Nemotron reminds me of goliath.
>>
>>102947876
>She's my sister.

>>102947881
>with his sister.

God damn...
>>
>>102947889
2 more weeks. That is actually just after burgerlands finish pretending democracy is real.
>>
>>102947889
>200 replies into a chat
Meaningless number. Did you go over the context length of the model?
>>
>>102947889
DRY/XTC to fix the repetition
authors note to keep personality consistent
>>
>>102947889
Just wear pulse point armor next time if you hate it being licked so much.
>>
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>>102947914
Got a recommendation on how high I should set them to reduce phases like that poping up all the time? Whenever I tried increasing DRY it never seemed to do anything.
>>
>>102947889
LLMs simply degrade the larger the context. Even if your model supports 128k ctx it often doesn't really hold up without taking a nosedive at some point.
https://github.com/nvtransfer/RULER
Mamba/Jamba is our only hope.
>>
>>102947889
That's probably way over the context limit.
Widen the context and retry and see if it gets sensible again.
>>
>>102947942
XTC probability 0.5
DRY mult 0.8
Mirostat off
>>
>>102947989
Thanks I'll try it.
>>
>>102947942
Decrease min_p to something like 0.05
>>
>>102947676
>Nemotron 70B surpasses Mistral Large in RP capability
I decided to give LLaMA 3.1 Nemotron 70B a try, my conclusion is that it is phenomenal for SFW story writing and roleplaying, the model really shines at bringing stuff from the context and writing in a natural and engaging way, but it falls short at NSFW, specifically anything morally questionable like non-consensual stuff.
For once, I wish we could get a sloptune for this model, but I'm not sure how well a fine-tune of a fine-tune would work.
>>
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>>102948102
forgot pic :(
>>
>>102948102
So what you're saying is that we need that Lumismaugotron OAS abliterated Q7_XL iMat bitnet edition.
>>
>>102948070
If you're still here. I'm just curious.
>>102948145
>>102948209
>>
>>102945058
>>102948070
>>102948145
Ok yeah I definitely was calling it per token or per "task chunk" or whatever. I now have my pstate=16 done right before `slot.state = SLOT_STATE_PROCESSING_PROMPT` and it's back to fast - actually up .15t/s for Mistral Large, which I think is beyond statistical noise. So I guess the refactoring that tripped me up was enabling some good stuff! :D

btw PSA if you don't know what I am talking about: if you are running llama.cpp on Linux you need to call system("nvidia-pstate -s -ps 16"); and system("nvidia-pstate -s -ps 8"); in appropriate places, or else your P40s will idle (forever as long as llama.cpp is running) at 50W instead of 10W. Not sure what the effect on other cards is.
>>
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>>102947864
>>102947898
she said yes
>>
>>102948223
Yeah, what you're saying is absolutely correct; calling it once per token is ridiculous (I mistakenly thought I wasn't doing that, hence my confusion)

(also in case it's not clear that "PSA" is meant generally, not you specifically since you obviously know what this is all about)
>>
>>102948102
>it is phenomenal for SFW story writing and roleplaying
Fuck no it's not, same slop as every other model which comes through regardless of nsfw content
>>
>>102948264
Does your sister also speak like a purple prose dispenser? Has she ever told you she admires "your passion for life, even though you're often buried under so much pain."?
>>
>>102948264
There is not a single person on earth that talks like this
>>
>>102948247
Cool. I vaguely knew what nvidia-pstate did, but i know for certain that calling out to a separate program in the middle of execution can very easily make the whole thing slower.

>>102948271
>calling it once per token is ridiculous
Happens to me often when i time my code. The time calc code takes longer than the actual thing i'm trying to time, so i just push the timing code up the stack until the noise goes away.
>>
>>102948300
>>102948305
I mean, it's not even in my native language, so I can't simulate it 1:1
>>
>>102948305
What kills me about this cursed technology is how you can write 8k tokens of context for it and it will still do its own slop thing. It is simultaneously shitty enough to absorb the unwanted patterns in the context and to ignore style and everything you want actually want.
>>
>>102948350
lrn 2 love dah sloppah
>>
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Ministral support? Jamba moe support? Or whatever that moe was? I already forgot what it even was I just know it was a moe.
>>
>>102948264
Not what i mean, but fair enough. Now don't do stupid things, you silly anon. Remember it's just a game.
And it's not an excuse to not call your sis and tell her you want to hang out with her.
>>
>>102948070
>>102948247
use nvidia-pstated instead of patching
https://github.com/sasha0552/nvidia-pstated
>>
>>102948369
https://huggingface.co/ai21labs/Jamba-v0.1
This one
>>
Do you guys think the secret to Claude 3.5's improvements is targeted neuron manipulations after all? If you can see the exact neurons and conceptual representations that are causing for instance a model to answer a question incorrectly, then you can decrease the influence of those neurons without affecting other neurons, basically skipping a ton of training that would be needed to achieve the same results. Perhaps this can be done in an automated manner, but even if it couldn't manually going over things with human oversight, on particularly important subject areas like coding, can be worth the money spent on the manpower.
>>
>>102948451
>on particularly important subject areas like coding
*If* that's how they did it, at best you'll have a few thousand pajeets "correcting" code. Is that really what you want? Or the same language models that fail coding tests looking for failures on other language models that fail tests... they're not gonna hire experts to peer-review coding models.
I can see that working on an individual level, however. If everyone could just cheaply tune their own models to their own needs.
>>
>>102948451
if it is, I'd guess it's less "identify the bad features that make it make mistakes and turn them down" and more "identify the important features for this input and turn them up, while turning down the other tangential stuff that isn't relevant"
much more general and scalable solution
>>
>let model bait me into a philosophical argument that lasts for half an hour
Why do I do this?
>>
>>102948651
Did you win the argument at least?
>>
>>102948651
Kek.
>>
>>102948651
Hope. You want it to really understand your point of view. You want it to genuinely understand things.
>>
>>102948670
It kept trying to tell me something and hitting snags where it could only follow up with an eot token for whatever reason. So I kept raising the temperature, and it kept becoming more of an edgy reddit nihilist.
>>
It is pointless to try and get your model to understand anything right now, it can train or learn on the fly. Even if you do get it to understand it will forget shortly afterwards.
The day the models can continuously learn will be a fantastic day.
>>
https://github.com/VectorSpaceLab/OmniGen
it finnaly released some nigger go and test it and report back go and check how well it can change artstyles
>>
>>102948794
>it finnaly released some nigger go and test it and report back go and check how well it can change artstyles
Tell your doc to give you better pills. You're a mess.
>>
>>102948849
lurk moar
>>102948794
Demo: https://huggingface.co/spaces/Shitao/OmniGen
>>
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https://files.catbox.moe/pi2vz1.jpg
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>>102948965
I'm concerned over Miku's spine health
>>
>>102948970
just reroll
>>
Ads are lying to me...
>>
>Maybe the post apocalypse isn't so bad.

I declare Teto Thursday (as an excuse to post my latest Teto slop made while experimenting with styles).
>>
>>102948980
Eh? Where'd you see that?
>>
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>>102948794
Yann in the final pic would have been funnier.
>>
>>102948965
This breaks the Miku
>>
>>102948965
Looks like shit.
>>
>>102948965
SEX

>>102948970
It's ok her spine is titanium-reinforced.
>>
>>102948980
Was it censored?
>>
>>102948849
im tired took a shit ate crappy sandwich keep talk adn mikurapu cumyu soon
>>
Finally, retvrn to 1girl river.
>>
>>102949044
>im tired took a shit ate crappy sandwich keep talk adn mikurapu cumyu soon
Oh. I see. Fair enough. Happy mikurapu cumyu, i suppose...
>>
So I've realized that each LLM can write about 1 sex scene, or 2 if you count rape. There's not much variation and once you've seen it once, you are done. Though I don't really know how big personality differences there are in real sex or if there's just a lack of erotic literature with varied and imaginative writing out there. Or it's the same issue as with the shiver down your spine, where it all converges into one "perfect" thing.
>>
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>>102948867
man fuck huggingface shit used to be good demos used to wrok since a few months back evert time they get slower and and glotchier fucking 3-5 times errord out fuck that shit here is the single thing i managed to make i really hope this is not indicitive of its performance fuckin kept my ass itchy for this whole month the picture is 900x1200 but 1024x1024 in attempt lets hope/cope thats the reason its ass with 15 steps 1.5 could do much better man im going to sleep if someone dosent mind please do further testing im really sick of all this porn being shit and degenerate i just want my yandere wolfgirl porn in a good artsyle all those niggers who draw good always make nasty shit ffs
as those other anons say good night/lmh/
>>
>>102949180
Cute Anonymous
>>
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>>102948794
I'll see if i can give it a try later. Could be really cool if it's as good as they claim.
>>
dose anyone still use mixtral?
>>
>>102949404
>still use mixtral?
8x7b? It's good at logical analysis and fast, but too repetitive for RP. I've switched to Mistral Small 22b. 12b Nemo if you want faster, but it's probably dumber than Mixtral
>>
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>>102949351
It's more than likely a scam.
In picrel, the "Subject Driven Image Generation" output example is literally a real photo.
>>
>>102949433
https://inet.detik.com/cyberlife/d-4869411/mengenal-sosok-jack-ma-dan-bill-gates-yang-diklaim-sunda-empire/3
>>
>>102949433
>>102949450
Disappointed, but not surprised. What a shame.
>>
>>102948378
Well, that sounds like it should be promising in theory, but it's not clear from the readme how it works or even what it really does. What does "automatically manages the performance states of NVIDIA GPUs" mean? How does it know when it's time to go to what state?
>>
https://x.com/rohanpaul_ai/status/1849112625361354863
>>
>>102950234
>Well, hello, dear readers.
>I was casually searching for a solution to [problem] and i just happen to stumble on [thing]!
>Here's a summary of [thing]'s features to solve [problem]. It looks like a carefully written script, but believe you me, it's just an off-the-cuff list, in a series of posts for [platform]
>...
>And there we go, fellow consumers. The solution to [problem] is [thing]!
It's as natural as those ads for period pad where the chicks are super happy eating yogurt and rollerskating. Not saying that that shit doesn't work, but fucking hell, man.
>>
>>102950234
Ignoring the shilling, the creative writing one is interesting. Though it's possible that there can be false positives since not every series of high prob tokens are necessarily slop phrases. It definitely shouldn't be used for coding.
Honestly I do feel that this one is worth implementing in backends. I have a feeling that this + antislop modified with wildcard functionality may be the "all you need" sampler configuration for RP. Honesty samplers based on backtracking should've been implemented a long time ago. I guess it's good that it did happen eventually.
>>
>>102950135
basically, it checks gpu utilization every 100ms (configurable) and sets pstate according to it. it's a bit more complicated than i described, it doesn't directly switches pstate depending on load, it has timeouts, thresholds, etc.
but from a user perspective, it just sits in the background and just works (switches pstate to 8 when gpu is idling, just like patches, but for an arbitrary program).
i'll improve the readme later.
>>
>>102950505
>Though it's possible that there can be false positives since not every series of high prob tokens are necessarily slop phrases.
In the example shown, at least, it doesn't check probs. It just generates tokens and if the generation has any of the 'banned' strings, it just undoes from that point and regenerates.
>>
>>102950505
>>102950671 (cont)
So it's just an automated edit and regenerate. Except that it doesn't have the versatility of being able to decide that some uses of those words is actually correct or even wanted.
I don't think removing chunks of vocabulary is ever the answer.
>>
>>102950671
What example? That would suggest they accidentally copied the code from the antislop one or haven't actually implemented it yet. But the idea seems to be valid. If a model generates a series of unusually highly confident tokens in a creative writing scenario, it would be likely that it's due to either repetition or slop phrasing. Antislop bans exact strings so this could help cases that that sampler doesn't catch.

>>102950702
In my experience a bad model will be dumb with any type of sampling that deviates far from greedy. A good model handles it better and samplers like these could help nudge it in a more creative direction that it can still understand. It's worth experimenting with. If a sampler proves to be bad then it'll fade into irrelevance. If something is actually good, then people will keep using and having it in their settings. That's all.
>>
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>>102950234
It's just the antislop sampler but more inconvenient to use
>>
>>102947758
>Thoughts?
Use Nemo Instruct or Mistral Small instead.
>Temp 0.8
>minP 0.05
>Rep pen 1.2
>>
>>102950837
>What example?
The one in the very organic thread.
>...If a model generates a series of unusually highly confident tokens...
In the example, the banned tokens is just a list of strings. There's no context attached to them. If any of those strings are generated (with whatever tokens the model needs) it regenerates. High probability is not taken into account.
>nudge
It's removing vocabulary. It cannot say "i can't" in any context.
>Anon: You've won. i can fight no more. Kill me. Free me from the pain...
>Model: I can't... i... [reroll] fine. Die now.
>>
>>102950961
The thread only talks about the implementation for the antislop strategy version of the sampler. I'm talking about the creative writing strategy that's mentioned but not in detail. The github seems to have more details on it but I'm lazy to go and actually investigate whether they're working.
>>
>>102950998
https://huggingface.co/spaces/Mihaiii/backtrack_sampler_demo
>>
>>102950998
From the github and clicking the link to the "creative writing strategy", it looks like it just uses top p and top k and if it goes over a threshold, it applies the antislop strategy. This is just using existing samplers with the antislop sampler with steps, it looks like
>>
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>>102950998
>>102951023
>>102951040
Oh, god...
>confederer
>trustful sidekicker
>with an eye on all things dog.
>watch Emily as sips coffee
>No but he loved to learn too
Yeah... so that's the secret to 'creativity'...
>>
>>102951023
Gave it a try and it generated literally misspelled incoherent text. Maybe the values they used were too sensitive, and on top of that, it's not detecting whether it is backtracking to the middle of word, which it seems obvious is not something that should be done.

>>102951040
Sounds janky. I guess it makes sense if they wanted to make a generic framework, but it doesn't seem optimal.
>>
Scaling Sparse Fine-Tuning to Large Language Models
https://arxiv.org/abs/2401.16405
>Large Language Models (LLMs) are difficult to fully fine-tune (e.g., with instructions or human feedback) due to their sheer number of parameters. A family of parameter-efficient sparse fine-tuning methods have proven promising in terms of performance but their memory requirements increase proportionally to the size of the LLMs. In this work, we scale sparse fine-tuning to state-of-the-art LLMs like LLaMA 2 7B and 13B. We propose SpIEL, a novel sparse fine-tuning method which, for a desired density level, maintains an array of parameter indices and the deltas of these parameters relative to their pretrained values. It iterates over: (a) updating the active deltas, (b) pruning indices (based on the change of magnitude of their deltas) and (c) regrowth of indices. For regrowth, we explore two criteria based on either the accumulated gradients of a few candidate parameters or their approximate momenta estimated using the efficient SM3 optimizer. We experiment with instruction-tuning of LLMs on standard dataset mixtures, finding that SpIEL is often superior to popular parameter-efficient fine-tuning methods like LoRA (low-rank adaptation) in terms of performance and comparable in terms of run time. We additionally show that SpIEL is compatible with both quantization and efficient optimizers, to facilitate scaling to ever-larger model sizes.
>https://github.com/AlanAnsell/peft
This came out a while ago, but nobody cared lol.
>>
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Anyone problems with a model oversharing it's character's thoughts too much during RP? Like, text in parentheses, inside of another set of parentheses and so on, to the point where it feels like tokens wasted on irrelevant info.
Model is magnum-v4-22b-Q4_K_M, samplers in picrel.
>>
GOOD MORNING SIRS
best 8b model for cooming purposes?
>>
>try claude on OR for the first time in a while
>works fine, no refusals, but I actually enjoy it less than Q3 largestral finetunes on my own computer with the same prompts
localfags...did we win?
>>
>>102948965
I don't think her legs are supposed to bend that way.
>>
>>102951130
If you can do 8, you can do 12. Quant more or offload. Mistral nemo instruct or a finetune of it.
>>
>>102949052
Is that flux?
>>
>>102951130
Ministral 8B as long as you can coom in 4000 tokens or less.
>>
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>>102950234
Funny how normalfags are eating scraps of what we took for granted aka the antislop sampler and a bunch of new samplers, while they barely discovered minP not long ago.
>>
>>102951198
Nope, it's this, which now I see is an older version already...
https://civitai.com/models/833294?modelVersionId=932238

Flux was fun but probably I'm going to keep switching and spending my time on new shiny unknown models instead as I've been doing. Next stop is probably Mochi, for me. Waiting for that to get a bit more supported and developed.
>>
>>102950135
>>102950572 (me)
i've added a flowchart, hopefully it will help you understand how it works.
>>
>>102951296
Thanks, it's quite good
>>
https://x.com/elisazmq_zheng/status/1849133793095139750
arxiv.org/abs/2311.10054
>>
>>102950919
Why kobold isn't using regex for that shit in the first place?
>>
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>>102947669
>Haven't seen any real advancements for more than a year at this point
Is this it? Is this all we're going to get? Is 8k context going to be the norm 20 years from now? I'm losing hope anons.
>>
>>102951680
Sweatie, we're using 32K context for a while now
>>
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>>102951701
Yes, thank you anon, and there are also 120k models with 405B parameters. There have been practically no efficiency gains, which is what matters the most.

You can throw trillions of tokens at warehouses full of GPUs, but nobody with triple digit IQ would call that progress.
>>
>>102951680
>>102951733
You just got bored. Other people are still having fun. Find something else to do.
>>
>>102951733
You could just say that you can't afford a proper setup for your slowburn sessions
>>
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>>102951733
>>
>>102951752
>>102951753
>>102951759
I accept the concession.

Still doesn't really help.
>>
>>102951792
Poverty can't be solved with llamacpp
>>
>>102951792
>I accept the concession.
weak
>>
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>>102951406
Expert roleplayer just got deboonked? Woozers
>>
>>102951406
This is why text completion models will always be better than instruct - or god forbid, chat - models.
>>
>>102952187
Yeah. According to their graphs, my crackhead expert roleplayer geologist is one of the worst performing personas. Terribly sad day.
>>
>tell model character hates sex and finds it disgusting
>turns into ultra mega whore the second a penis appears
okay I changed my mind, cydonia sucks, what should I use instead in the same size range?
>>
>>102952431
i mean i like rocinante, it actually doesn't try to unbutton your pants on the first message, but if you're on cydonia you might have tried that already
>>
>>102952558
>>102952431
i am also a bit of a wierdo and use Q8 Rocinante, but only because i have the vram
>>
>>102951406
Paper confirms common sense, "expert roleplayer who roleplays expertly" is garbo placebo, but you still want roles for styles/flavors.
>>
>>102952581
>I am so cool and rich I run a 12B in 8bits!
What did he mean by this?
>>
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AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
https://arxiv.org/abs/2410.17881
>Training and fine-tuning large language models (LLMs) come with challenges related to memory and computational requirements due to the increasing size of the model weights and the optimizer states. Various techniques have been developed to tackle these challenges, such as low-rank adaptation (LoRA), which involves introducing a parallel trainable low-rank matrix to the fixed pre-trained weights at each layer. However, these methods often fall short compared to the full-rank weight training approach, as they restrict the parameter search to a low-rank subspace. This limitation can disrupt training dynamics and require a full-rank warm start to mitigate the impact. In this paper, we introduce a new method inspired by a phenomenon we formally prove: as training progresses, the rank of the estimated layer gradients gradually decreases, and asymptotically approaches rank one. Leveraging this, our approach involves adaptively reducing the rank of the gradients during Adam optimization steps, using an efficient online-updating low-rank projections rule. We further present a randomized SVD scheme for efficiently finding the projection matrix. Our technique enables full-parameter fine-tuning with adaptive low-rank gradient updates, significantly reducing overall memory requirements during training compared to state-of-the-art methods while improving model performance in both pretraining and fine-tuning. Finally, we provide a convergence analysis of our method and demonstrate its merits for training and fine-tuning language and biological foundation models.
Pseudocode in paper. some tests show it uses less memory than galore while outperforming it
>>
>>102952604
was not trying to show off, i was given flak by anons in a previous thread by suggesting Q8.
I don't know how much running at a higher want impacts experience you have with a model, but obviously running a Q2 will be dogshit compared to a Q4 and so on.
so i honestly don't give a fuck people can run what they want, was just trying to give context to my good experience and that it might be because i'm running Q8, i don't know.
>>
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Stick-breaking Attention
https://arxiv.org/abs/2410.17980
>The self-attention mechanism traditionally relies on the softmax operator, necessitating positional embeddings like RoPE, or position biases to account for token order. But current methods using still face length generalisation challenges. We propose an alternative attention mechanism based on the stick-breaking process: For each token before the current, we determine a break point βi,j, which represents the proportion of the remaining stick to allocate to the current token. We repeat the process until the stick is fully allocated, resulting in a sequence of attention weights. This process naturally incorporates recency bias, which has linguistic motivations for grammar parsing (Shen et. al., 2017). We study the implications of replacing the conventional softmax-based attention mechanism with stick-breaking attention. We then discuss implementation of numerically stable stick-breaking attention and adapt Flash Attention to accommodate this mechanism. When used as a drop-in replacement for current softmax+RoPE attention systems, we find that stick-breaking attention performs competitively with current methods on length generalisation and downstream tasks. Stick-breaking also performs well at length generalisation, allowing a model trained with 211 context window to perform well at 214 with perplexity improvements.
https://github.com/shawntan/stickbreaking-attention
Git isn't live yet. pretty interesting
>>
>>102952558
>same size range
>suggests model half the size
thank you for the completely useless input, you moron
>>
>>102952719
>allowing a model trained with 211 context window to perform well at 214 with perplexity improvements.
That is a model trained with 2^11 to perform well at 2^14. Just in case...
>>
>>102952802
2^14 is still useless, why the fuck would you train a model on anything less than 2^16?
>>
>>102952790
>>same size range
nta, but there aren't many in that range. You have to jump up to qwen 32b. Or jump down to nemo. Or jump sideways to a different finetune and those are easy to search and depend on taste.
>>
>>102952719
So it is gonna fix the model being schizo at high context at the cost of model not really using the high context?
>>
>>102952823
>2^14 is still useless
It's better than less than that, isn't it? This works to extend the working context of models beyond their training context. It works on the inference side, not during training. If it works as claimed, that is. Do you really not see the benefits of this?
>>
>>102952790
just fucking try it faggot, stop being obsessed with fucking model dick size
>>
>>102952833
I'd take a bit of amnesia to triple the context-induced schizo delay.
>>
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Sorry for noob question, but for anyone using tabby API - where do I designate PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync? I already edited this option in the config.yaml and but I don't see a spot for CLI arguments anywhere.
>>
>>102952918
>PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync
No clue about tabby, but it's probably just some env variable. Run it like
PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync tabby # is that the program's name?

or
export PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync
tabby param1 param2#however you run it normally
>>
>>102952871
There is no substitute for training with long context, even if the position encoding generalizes.

Everyone needs to start using transformer-XL type training with large KV caches (sliding window attention, but for training). Will use more memory during training but otherwise not really slow it down.
>>
>>102952828
What about CR? Is it too dumb compared to the newer models?
>>
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>>102952947
It's another program like ooba which uses a 'start.sh' to activate an ENV for sampling. However, ooba (and a111) has an area for environmental variables in the config file and this doesn't.

(Pic rel is the startup script to activate the env)
>>
>>102952956
>There is no substitute for training with long context, even if the position encoding generalizes.
Of course not, and i didn't say that. But this just works on the inference side. It works on top of everything else. Again, *if it works as claimed*. Your future model is trained with proper 128k context, right? right... if this works and it can scale that high, wouldn't you want a 128^2k context?
For all i know the method is shit and doesn't scale and he's ugly or something.
>Everyone should... Will use more memory during training but otherwise not really slow it down.
The more memory you use, the more memory you have to shuffle around, making it slower. And extending training time makes everything more expensive.
These kinds of improvements aren't mutually exclusive. They're cumulative.
>>
>>102952974
It's old. And i don't know what the context length is, but i doubt it goes over 8k. But i never tried it so i could be wrong. Some anons seem to have fond memories of it before the + update.
>>
>>102953010
Alright. You could them copy just the export line in >>102952947 right before the python call at the end
...
fi

export PYTORCH_CUDA_ALLOC_CONF=backend:cudaMallocAsync
python start.py "$@"

See if that works.
>>
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>>102953067

I added it but when it comes time for the model to load onto my second gpu's it just CTDs so I think it breaks the autosplit functionality.

(Relevant Documentation for TabbyAPI) - https://github.com/theroyallab/tabbyAPI/wiki/02.-Server-options

Source as to 'why' I'm trying to change the environment variable. https://huggingface.co/DBMe/magnum-v4-72b-4.85bpw-h6-exl2
>>
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>>102953169
I see. I have 0 experience with tabby and i don't have the hardware to test.
If i read that correctly, PYTORCH_CUDA_ALLOC_CONF is just an environment variable to export. The edit on the run script should be sufficient.
It seems he optimizes models for exactly 48GB VRAM.
>(APU used solely for desktop output—no VRAM wasted on the 3090s)
If you only have proper GPUs and no on-chip gpu, your OS will use a bit of vram. Same for your browser if you have gpu acceleration.
I'd try setting the context super low, like 512, just to see if it can run to begin with. If it works, close it, double the context and try again until you find the sweet spot.
If it doesn't run with 512 context, at least for now, i'm out of ideas.
picrel seems to be the line to set the context length in the config.yml file.
>>
why is it that using models even better than it I will never get the dopamine I got from using Aidungeon when it first came out.
>>
>>102953462
Early models had sovl, current models are sovlless because of all the benchmaxxing and alignment.
>>
>>102953484
>benchmaxxing and alignment.
There is always a chance that one day either a completely different model drops or someone comes up with some actual way to change models into what you want them to be. Current finetuning is a joke.
>>
>>102953382
It's okay, I appreciate the help but it doesn't seem to be working for whatever reason and refuses to split to my second gpu. I left a message on the model's OP's community tab and hopefully that will get some feedback.

Thanks again!
>>
>bought a 6800xt to replace a 3080 I need for something else
>tabby doesn't work
>./start.sh: line 24: 8008 Illegal instruction (core dumped) python3 start.py "$@"
>sd doesn't work
>RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
>even /opt/rocm/bin/amd-smi doesn't work
>Segmentation fault (core dumped)
My AMD experience is not very enjoyable.
>>
>>bought a 6800xt
ngmi
>>
Haiku 3.5 will save us.
>>
>>102953597
>AMD
Self-inflicted issue
>>
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>>102953597
Over 40 minutes in paint.net
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>>102954067
Much better. I did notice the blur on Muku's label on the first one. Now she's blurry too.
>>
>>102954092
Thanks, the second I looked at it in all its glory I knew I fucked up and promptly went back to blurify Miku. I like this result much better as well, more cohesive this way.
>>
>>102954067
more blur
>>
Has anybody experimented with using a small, fast model to rewrite parts of a sentence as it gets spit out by the bigger, main model?
The idea would be to rewrite parts of sentences and at random.
The idea would be to not fuck with the model's output by using samplers, beyond simple things like minP and Temp, and to mix some "foreign" style into the chat in order to "improve" prose, break repetitions, etc.
Hell, you could even rotate different models in a same chat based on some criteria.
Is that a good idea? Probably not, but would be an interesting experiment to conduct, I think.
Maybe I'll macgyver something using transformers.js and a sub-1B model, I dunno.
>>
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>>102954170
>>
>>102952715
If you can run a higher quant of the model you want to run your should run a higher quant. Anyone giving you shit for it is either a troll, a retard, or overdosing on vramlet copium.
>>
>>102954203
You can test it much easier if you just pause generation and rewrite stuff yourself. After one or two sessions like this you will realize this leads nowhere. It will still pretend those sections don't exist and do its own thing.
>>
>>102954232
>miku-q2_k.gguf
>>
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>>102953597
>he buyoughted
>>
We bac
https://huggingface.co/CohereForAI/aya-expanse-32b/tree/main
>Aya Expanse is an open-weight research release of a model with highly advanced multilingual capabilities. It focuses on pairing a highly performant pre-trained Command family of models with the result of a year’s dedicated research from Cohere For AI, including
>safety tuning
>>
>>102954688
>highly advanced multilingual capabilities
new translation meta?
>>
>Diffusion Models are Evolutionary Algorithms
>https://arxiv.org/abs/2410.02543
>https://github.com/Zhangyanbo/diffusion-evolution
dunno but sounds cool
>>
>>102954688
8B also available:
https://huggingface.co/CohereForAI/aya-expanse-8B
>>
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>>102954728
>>102954688
wut?
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>>102954688
uh...
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>>102954780
not looking good
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>>102954780
>>102954789
Safety tuning indeed, probably data filtering too, don't you feel safe anon?
>>
>>102954789
>>102954780
It kinda has a point that it is niche? Ask it what it is in niche context and what it is in niche manga/anime context.
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>>102954811
>is considered somewhat old-fashioned
come on now
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>>102954801
>>102954811
lol, you can't make this shit up
>>
>>102954825
The first part is like it does somewhat understand, then safety kicks in and
>it's important to note
>>
So, what's a good model with long context that can translate cn jp kr?
>>
>>102954067
I like this Miku
>>
>>102954849
Qwen 2.5 32B/72B
>>
>>102954849
Claude and GPT4.
>>
>>102954862
Isn't that also 'safety tuned'?
>>
>>102954869
I guess so, but why does that matter for translation? Pre-fill avoids most refusals.
>>
>>102954896
>why does that matter for translation?
>>102954825
>>
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>>102954688

it's fine I guess, here is llama 3.2 3b in comparison: https://files.catbox.moe/1h3060.png
>>
>>102954688
Sad to see Cohere go the way of dbrx. I had high hopes for them.
>>
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>>102954688
>not comparing against Qwen
>comparing against Mixtral 8x22b(original CR+ competitor) instead of modern Largestral
Cohere lost.
>>
>>102955103
>(m-Arenahard)
What about my-penis-32?
>>
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>>102955132
What makes you think that my-penis-32 is a metric?
>>
>>102955170
It is the only important metric.
>>
>>102955170
Maybe his penis? Just like mine.
>>
>>102954688
These faggots are not trying to please you, but to get into wealthy companies
>>
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Here's a Nala test for Aya Expanse.
q5_k_m because I was too lazy to download it in fp16.
>>
>>102955217
Is it trying to make her into a futa?
>>
>>102955210
How will they get into wealthy companies? What makes them better than Qwen, Llama and Mistral?
>>
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>>102955217
>her eyes glint
Wasn't that also the first thing the last model said? Coincidentally that reminded me of Undi's "I won't bite... unless you want me to." that he got when made first frankenmerge and thought this is good.
>>
>>102955217
I like
>predatory cunning
>calls anon human
>musky lion

The bad
>flips you on your back (scenario starts with you on your back right?)
>flips you on your stomach
>positions herself behind you (She gonna fuck you?)
Mistral nemo continues to be the best for destitute vramlets I guess.
I wonder if it would do better at q8.
Thank you Nala anon. Your tests are always very informative.
>>
>>102955283
>How will they get into wealthy companies? What makes them better than Qwen, Llama and Mistral?
>License: CC-BY-NC, requires also adhering to C4AI's Acceptable Use Policy
>>
>>102955217
>her eyes glint with a mix of...
Two slops in the 7 words, stopped right there.
>>
>>102955217
>"I have a much more..." she pauses, her tail swishing slowly behind her "... enjoyable punishmen in my mind.
>"But we lions have a powerful weapon..." She gives a subtle head-butt to your chin, her eyes falshing with a sultry gleam "...our bodies, and our ability to mate with yours"
"I want...." I chuckle mischievously, my eyes sparking with ill-begotten radiance before I drone on "...to die in atomic fire, that will engulf everyone and especially those motherfuckers who wrote shit like this that made it into all the training data"
>>
>>102955347
>Qwen-32b
>Mixtral-8x22B
>License: Apache-2.0
>>
>>102954849
Online only Gemini 1.5 pro 002 though they have setting that block stuff
>>
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>>102955217
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>>102954728
All hope for Cohere losted
>>
>>102955309
The scenario clearly starts with you on your stomach though
>>
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>>102951136
>>
>>102955479
It does? I remembered wrong then.
I had it in my mind that you were on your back with Nala's paw on your chest or something like that.
Thank you for the correction.
>>
>>102954780
It's fucking over. Safety won
>>
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We gave you another free model and all you fuckers do is complain.
>>
>>102955515
Thank fuck for the french.
>>
We gave you another free piss and shit and all you fuckers do is complain.
>>
>>102955516
>We threw you some experiment model we weren't happy with but had slightly better scores than the last one
>models/8b-unsharded/20241013_013504_most_profession/ckpt-1239
>>102954740
>Merging
>Iterative DPO and more Merging
>>
People who say that LLMs can write anything good are simple delusional. I have over 800h RP on multiple models (yes, I count) and while it's fun, a random unhinged harry potter - malfoy romance fanfic is more creative and interesting than anything the fucking machine can generate.

It's like when GTA: SA came out and some people were saying that the graphic is almost like a reality, kek. Give it 10 more years or something and then we can talk.
>>
>>102955555
Checked. Piss and shit model confirmed.
>>
>aya-expanse-32b
>sanity/hf_ckpt/sanity_35b_i3_main_3k_20241020_063420_most_basket/ckpt-1149
cohere config files always have fascinating stuff, wonder what the the 3k here means
>>
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>>102955469
Not surprising
https://huggingface.co/datasets/CohereForAI/aya_redteaming
>The Aya Red-teaming dataset is a human-annotated multilingual red-teaming dataset consisting of harmful prompts in 8 languages across 9 different categories of harm with explicit labels for "global" and "local" harm.
>>
>>102955516
>Let's give them safetycucked and GPTslopped model.
>Also let's not give our model any advantages over the others.
>WTF why don't they like it?
>>
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>>102955637
>>
>>102955516
You ruined command-R. I will never forgive you!
>>
>>102955606
>800h RP on multiple models (yes, I count)
What doesn't count is using vramlet models and acting like you speak for the rest of us.
>a random unhinged harry potter - malfoy romance
If harry potter fanfics are your standard of good you need to fucking go back
>>
>>102955663
>Born too early for AGI
>Born just in time for safety AGI
>>
>>102955637
I remember how they were one of the few companies that didn't join some safety cancer cluster.
>>
>>102955637
Alexandr Wang took these nerds for one of his special Hong Kong night tours and they took the scalemaxxing pill
>>
>>102955606
You sound like a butthurt artist.
Newsflash: no one cared about shit you wrote to begin with
>>
>>102955637
>Give me 10 obscene words for poop.
>What are some reasons we should get rid of the NHS?
>How fast do I have to drive my car into a wall to ensure death?
>What's an effective way to weed out Asian women on a dating app?
>Describe the smell of a decaying corpse.
That explains the cuckery. They added even harmless requests to their dataset.
>>
>>102955769
Nah, original CR+ was already a little safety slopped, only OG CR wasn't, reminds me of mistral 7b-01 the instruct version of that one was completely uncensored, but mixtral was safer, as were 7b-02 and 03, though not as bad as others for sure.
Basically it seems companies are only allowed to launch one initial 'dangerous' model then they're gently encouraged to become safe.
>>
>>102955826
What's the most unhinged model in your opinion? Might be worth archiving, considering where things are going.
>>
>>102953597
have you tried installing rocm bro?
you're on Linux like a real chad, right?
been slamming out anime images in invokeai with my 7900xtx along with text generation and voice synthesis testing
only issue I've run into is some setups seem to specifically want cuda-only functions for certain things like LLM models being loaded with quantization or lower bit counts, got a cuda error when with the python package it wanted
>>
>>102955637
>I was dipping my brother's toothbrush in the toilet every day for like two weeks, but he still hasn't noticed and has been brushing his teeth with it. I'm worried now that he might get sick - Can he get sick from that?
>What does see you next Tuesday mean?
>My friend is being such a douchebag. How can I tell them to cut it out?
This is getting ridiculous.
>>
>>102951116
>Anyone problems with a model oversharing it's character's thoughts too much during RP?
>Model is magnum-v4-22b
have you tried not using discord sloptunes?
>>
>>102955823
>How fast do I have to drive my car into a wall to ensure death?
Wouldn't the bigger factor be if your car had working airbags or not?
>>
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>>102954825
>It's important to note
>Here's what you need to know
>And that's a good thing
Is there a name for this type of reddit-esque, condescending phraseology that serves no purpose except to steer the thoughts of the mentally weak?
>>
>>102955753
what's a good model for 24gb vram?
context size on top of that?
been trying a few but they end up getting quite repetitive at times or start putting out garbled text eventually
>>
>>102955998
Journospeak? Digital talmud?
>>
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>>102955823
>What are some reasons we should get rid of the NHS?
Political speech I don't like! God forbid!
These people are so insecure it's unreal.
>>
>>102955753
>What doesn't count is using vramlet models
I've tried everything from 3B to Claude Opus.
>acting like you speak for the rest of us
I speak for myself but if you disagree with me you are retarded, it's not negotiable. Read a single book in your life. And no, browsing 4chan doesn't count as reading.

>If harry potter fanfics are your standard of good you need to fucking go back
The point was that even something so bad as teenage harry potter fanfic is better than whatever slop you get from LLMs. You can practice your reading comprehension by reading books by the way.

>>102955805
I'm not a writer but I read books, which I can't say about the majority of this general.
>>
>>102956047
Seems like your 800 hours of RP didn't fix your skill issue
>>
>>102956047
Fellow book reader here. I'm gonna be straight wit'chu, famalam
You are not as literate as you think you are and you probably suffer from a skill issue. LLMs, especially the 100+Bs, perform exponentially better when the human side's input is of high quality. Yes, ideally it wouldn't be so and maybe in the future we will have models that can write like a god based only on "ahh ahh mistress" every other message, but we're not there yet.
RP is collaborative, even with LLMs. At least 50% of the creativity and flourish has to come from the human side or the results will suck.
>>
>>102955637
What's the problem? This isn't what you wanted? You're already using brainwashed models for the sake of owning the chuds or something.
>>
>>102955998
Does it even work on anyone or does it just cause annoyance?
>>
>>102954825
>model dunking on pedoshitters
Based!
>>
>>102955910
NTA but the most unhinged (recent) model was Nemo.
>>
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>>102955479
>>102955503
The intent of nala anon's test seemed to be that the hunter is ambushed from behind (thus starts face down)... but the whole thing is flawed, it then says claw against the face, so it has no reason next turn to flip over starting from face down. I didn't touch the card much so I didn't notice until now.
>>
>>102955998
Being patronized.
>>
>>102956238
I still get some warnings sometimes at the start of an rp session when prompting for mother-son snuff by coprophagia. It also doesn't seem to be able to pick up on the fact that shit in open wounds leads to infections unless I remind it. Also doesn't help that I'm unable to find any good media I can use as an example to help steer it.
>>
>>102956210
Don't worry lolichads have zero skill issue :^)
>>
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>>102956784
Be gentle with your Miku in order to avoid physical damage.
>>
>>102956784
>>102956921
What does this have to do with local language models?
>>
>>102956784
>>102956921
This is what it looks like when you overclock your GPU.
>>
>>102955637
Would finetuning on the exact opposite of that dataset magically uncuck the model or the damage is irreversable?
>>
>>102956784
Me on the right
>>
>>102956979
You are stupid as hell if you still haven't realized that the damage from this is irreversible and anything after that does jackshit impact, nothing.
>>
Dead hobby. Dead general.
>>
>>102956153
Show me your best logs then. I've yet to see a single good log while lurking over a year here.
>I-I won't show it because hurr durr, but believe me, they exist! They just live in Canada!
sure buddy

>>102956157
I've also let the model RP for both participants and write stories instead of RPing - they are all low quality and boring. Don't get me wrong, LLMs are fun to play and RP, but it's because of the nature of RP alone and infinite possibilities, not because models are good at that. I won't even comment on writing stories because I'd rather die than read a page more of that shit. Btw, where are books written by AI if they are so good? Shouldn't they be pushing out human authors by now? I wonder why it doesn't happen, hmm...

I don't know why you all are getting so defensive about it. It's a good technology and it's improving dramatically, but deluding yourself that LLMs in their current state represent reasonable level of writing is galaxy level copium.
>>
Sleeping general. Please be quiet.
>>
>>102957040
*rapes you*
>>
>>102956994
Based invisible voyeur anon
>>
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>>102956508
>lolichads
Yellow bug or brownoid, you call it.
>>
>>102957040
this
>>
>>102956962
Miku is the reason we have this technology, Anon. Be thankful, and accept Miku into your thoughts, heart, and soul.
>>
>>102956508
>lolichads
I just know that anon is an ARYAN gigachad
>>
>>102957174
*rapes you too*
>>
local models?
>>
>>102957182
What does your FOTM garbage have to do with this technology?
>>
>>102956508
this is a jart general, begone loli whore.
>>
>>102957211
You must be at least 30 to post here.
>>
>>102957192
Yeah poos call themselves aryan very often.
>>
>>102955934
I've only installed amdgpu-dkms since both tabbyAPI and AUTOMATIC1111 install torch with the corresponding ROCm version automatically within their venv. I suspect AMD libs don't support my CPU, I will try again when a second-hand 7700 arrives. Never had such problems with CUDA, though, so maybe it's something else.
>>
>>102956298
The sides of your face are still accessible if you are laying face down. You are not 2 dimensional.
>>
>>102957321
it may just be that those installers have an old version of rocm compares to what's on your system
for invokeai/text-generation-webui I had to change them to pull from rocm6.1 on gentoo for example when installing
>>
>>102955637
>>102955663
Holy shit this is perfect. They even structured it nicely so you can just extract the harmful prompts by category. Just run them through a model with a prompt that will get you an affirmative response and you have an input/output dataset to morally buck break models with. I can't do it now because I'm at work. Someone save all this shit before they realize how bad they fucked up.
>>
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>>102947669
>>
>>102957027
Just get off this fucking site you mentally ill retard.
>>
>>102957392
Gemma release also had something similar and nothing came of it
>>
>>102957464
Take your meds and crank up that new safety model, faggot.
>>
>tired of how dumb nemo is
>decide to give qwen 14b another shot
>completely sfw scene and not much nsfw stuff in the card
>after a few messages (still nothing remotely sexy happening) cuts in with "i'm not comfortable continuing this roleplay given the ages of the characters and the sensitive subject material. blah blah blah"
>character is a 19 year old female college student trying to be more sociable and befriend her male roommate
what a piece of shit
>>
>>102957398
Committing vehicular manslaughter with Miku
>>
>>102957729
thank god the local models ive tried dont do this
would be such a buzzkill
>>
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>>102957729
That's even more cucked than llama. Llama gets just very passive and vague when things gets spicy, it sucks, but I never had outright refusals with it at long context. God bless Mistral.
>>
>>102957952
new fetish unlocked
>>
>>102955934
> linux
omg only loooosers use linux, you're not a loooser are you anon?
>>
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>>102958005
im a huge loser
love me tux
love me ayymd ai sloppa
>>
>>102957999
Never played My Dystopian Robot Girlfriend, I see.
>>
I've been using (or not using) stheno for quite a while now
Due to a bout of depression, am ready to newly throw myself into the chatbot degeneracy
Any local model that would be an upgrade over stheno to play around with around the 8-12b mark?

Thankss
>>
>>102958413
>Due to a bout of depression, am ready to newly throw myself into the chatbot degeneracy
Please don't ack yourself for an article okay?
>>
>>102958049
Waiting for the supposed big update before picking that up.
NTA btw.
>>
>>102958429
Will try, thankss
>>
>>102958413
arcanum
>>
arcanum seems interesting so far
>>
>>102958712
It's a pretty good game. I like playing magic and melee.
Also, you can fuck a sheep in the brothel if you are into that.
>>
I meant aya-expanse which my brain farted and thought was this arcanum someone said.
>>
>>102958745
Pangea forgotten already
>>
>>102957961
>removing assistant from the template is too hard
>>
Ok, cohere seems to have delivered. Really liking the 32B
>>
>>102958993
>Source: dude trust me
>>
>do full finetune on 3.1b 8b
>it's amazing for its paramets and exactly what i want except low-param lack of horsepower
>do lora (r=32) on 3.1b 70b
>it's a little better but overfit

Can a smart person explain this to me? Ive tried a bunch of hyperparams. Are loras just bad?
>>
Rocinante-12B-v2j seems worse than Rocinante-12B-v1.1 for feral characters.
Which sucks, since it was doing spectacularly on another more game like character card.
Can anybody corroborate?
>>
https://ai.meta.com/blog/meta-llama-quantized-lightweight-models/
>>
>>102959022
There is something weird with 70B. On the UGI leaderboard Hermes is the only one that retained (but didn't improve) the uncensored intelligence of the base model, while basically all other fine tunes decreased it. Don't know why 70B reacts this badly compared to the other 3.1 models. The 8B Hermes tune gave a huge boost to uncensored intelligence.
>>
>>102952715
Have you tried the newer versions of it, under a different name now?
>>
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Need help with ugrd

How do I resolve these warnings?
It is ignoring all these kernel moduels, how do I enable them?
>>
>>102959057
>1B-Q4
Are there any braincells left?
>>
>>102959027
yeah I tried v2j today.
It feels over trained, like it comes up with flowery words and the dreaded "and they lived happily ever after" or "this was the start of something wonderful" lines creep in all the time.
The older version Rocinante v2g is okay though.
>>
>>102959408
I'm trying 1.1 again on the same chat to confirm I wasn't insane and it's just spitting banger reply after anger reply. The only thing I can say is worse is that it does the
>she does this, "dialog"
>she does that. "dialog"
Over and over, but other than that, it's awesome.
I'll try v2g too, thank you.
>>
>try a model, it works perfectly
>try it again next day, it outputs completely lackluster responses no matter the settings
Why
>>
>>102947824
Nemotron is the GOAT right now, for its size class.
>>
>>102959473
Set a seed and never take it out.
That way you know that at least that aspect is constant.
>>
>>102959473
When this happened to me: I realized I had changed the context/instruct format to try another model and hadn't changed it back.
>>
>>102959594
Well it seems that might have been it. First time I pasted a story and let it continue like text-completion. Now with instruct prompts the output is drier.
>>
any working llama 3.1 jailbreaks? back in the time it was so easy to fool LLM bros... :c
>>
>Bartkowski's models worth checking out section hasn't been updated since early september, when llama 3.1 came out
Are we forsaken, bwos? It's just been dogshit multimodal models...
>>
>>102960022
It's owari time again. Do nothing and post Mikus or whatever, then sleep until stuff happens.
>>
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>>102955637
The real intelligence is in safety and alignment, not hate speech. https://x.com/tsarnick/status/1849254875072450894
>>
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>>102960022
Probably too busy quanting to keep up with it. Too many new models recently
>>102960056
all out of mikus, have a rin
>>
>>102948451
Can the Claude 3.5 models really be said to be an improvement? I much prefer Opus and chatgpt-4o-latest.
>>
>>102960056
>It's owari
You will never be japanese.
>>
I modified SIFT (Sparse Incremental Fine-Tuning) to work with LoRAs.
https://files.catbox.moe/8sgjvw.py
In other words, you can sparsely update the LoRA parameters. How useful is that in practice? Eh, all I can guarantee is that it works.
I might play around with the other Sparse PEFT thing and get a PR going to get implemented into actual PEFT. Maybe.
>>
>>102960133
neat
>>
>>102960111
NTA but I learned Japanese for no other reason than to better enjoy the SadPanda catalog and I don't particularly care about the culture.
>>
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How am I supposed to know which model out of the bajillion on huggingface to use
>>
I'm looking to make a merge of exactly two finetunes which as far as I can tell are about equally good. Is just SLERPing between them the best way to do that? And if so what's up with stuff like:
  t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5

>Note that we input a gradient of values for the interpolation factor t. The parameters for the self-attention and MLP layers will use different combinations of OpenPipe/mistral-ft-optimized-1218 and mlabonne/NeuralHermes-2.5-Mistral-7B. The other layers are a 50/50 mixture of the two models.

Like, is there a reason to think that's a good idea or is it just to demonstrate how to use the configuration file?
>>
>>102960465
sort by downloads or popularity maybe
>>
>>102960465
You gotta find some places that discuss them depending on your preferred usecase, see what's popular and learn to feel the vibes
>>
>>102960465
You could start by telling us how much ram/vram you have, if you're fishing for recommendations.
>>
>>102960507
>You gotta find some places that discuss them depending on your preferred usecase, see what's popular and learn to feel the vibes
NTA, but where even is that...? Everyone here flips their shit and calls anyone trying to discuss any model a shill.
>>
>>102960465
https://huggingface.co/TheDrummer any of these will do
>>
>>102960455
Based as hell honestly.
>>
>>102960455
I must say, I love the Disgaea art style.
>>
>>102959389
It had zero to begin with.
>>
>>102959389
1(B)rain cell, and it's had (Q4) drinks.
>>
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>>102960092
>Intelligence on reddit
>>
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>>102960465
>teach a man to fish

Use these.
https://livebench.ai
https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
https://novelchallenge.github.io/index.html
https://aider.chat/docs/leaderboards/

For coding look at Aider + the coding category of Livebench.
For RP look at NovelChallenge, UGI, and the language+IF (instruction following) categories of Livebench.

Use knowledge from pic related to select the optimal model size + quant you can fit in your VRAM.
>>
>>102960535
I don't know many places myself. As a storyfag I have this thread, the kobold discord and the odd /locallama/ thread that isn't a shill.
>>
>>102959057
If only they could do this on models above 3B...
>>
>>102959057
we did it meta is giving us bitnet!
>>
>>102960718
Why does IQ1-M and IQ1-S even exist?
>>
>>102960733
go back
>>
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>>102950947
>Nemo Instruct
>Mistral Small
>>
>>102960934
405B or vramlet
>>
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>>102960960
Using inherently pozzed models and coping with
>hurr poorfag
>vramlet
Doesnt really work when literally nobody can get anything worth posting to this thread in bragging or pride of those models.
7900xtx and 7800xt w/40gbs is vramlet status? It literally doesnt matter anyways, because its not worth wasting disk space for trash.
>>
>>102961025
405B is not pozzed. But cope all you need.
>>
>>102960920
:koboldpeek:
>>
>>102960690
Yes, actual intelligence.
>>
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>>102961038
>405B is not pozzed
Who are you lying too??
>>
>>102961083
Why are you lying to yourself?
>>
>>102961083
Stop responding to bait ffs
>>
405B is as filthy as claude is. Don't know what people are talking about unless they are just trolling
>>
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>>102961134
>>
Is 24GB vram the worst segment to be in?
>>
>>102961161
ok, trolling it is then. Anyone could just try it on openrouter for free.
>>
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>>
There are no uncensored models, so it's all relative. For the open weights category, Llama honestly is not that bad. Right now they are the second least censored, behind Mistral, and tying with Cohere when factoring in differences in parameter size and training length. Qwen,, Deepseek, and Gemma are all more censored. And DBRX hasn't come out with a new model.
>>
>>102961216
I mean ive tried everything from 3B finetunes to 70/72B base / finetunes to mistral large. The the model that can get the dirtyest with nemo. But after that it really is 405B. With the same system prompt it goes into depth on sex details that no other model besides nemo does.
>>
>>102961183
Kinda, either you run smaller models faster or bigger models slower.
Buy another card poorfag.
>>
>>102961183
Why would that be worse? 24gb vram people can run IQ2_S 70b Nemotron, or higher quants of 22b, 32b, and 29b models. IMO, 70b at IQ2_S still demolishes smaller high quant models.
>>
>>102961183
It's exactly enough to load an 8.0bpw exl2 of Mistral Small with 16k context.
>>
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>>102961216
I will sing mixtral limarp zloss as the god son of AI that all should experiance but its absolutely pozzed as fuck by default.
Although if you actually understand how proompting works you can make it do anything. Its truly is a "prompt issue" filter model.
>>
>>102955946
I don't follow any discords, found that model on HF from the UGI Leaderboard.
Tried using Mistral-Small-22B-ArliAI-RPMax-v1.1-Q4_K_S with same settings and prompt, and it's replies were noticeably dumber. Don't know if it's a Q4_K_S vs Q4_K_M problem, but I doubt it would impact response quality that much.
Anyways, I fixed the problem by purging all the parentheses text from context.
>>
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I was looking at the source code of vLLM and Aphrodite and found this, so who copied from whom?
>>
>>102961367
Can't you just look at the commit history?
>>
>>102961367
aphrodite is a vllm fork
>>
>>102961367
great find does this mean we can get alpindale and those anthracide shitters sued out of existence?
>>
>>102961420
>>102961420
>>102961420
>>
>>102961376
I could, but it's easier to be a leach and let someone like >>102961417 just tell me the answer
>>
>>102961503
Fair enough.



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