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

Previous threads: >>108616559 & >>108612501

►News
>(04/16) Ternary Bonsai released: https://hf.co/collections/prism-ml/ternary-bonsai
>(04/16) Qwen3.6-35B-A3B released: https://hf.co/Qwen/Qwen3.6-35B-A3B
>(04/11) MiniMax-M2.7 released: https://minimax.io/news/minimax-m27-en
>(04/09) Backend-agnostic tensor parallelism merged: https://github.com/ggml-org/llama.cpp/pull/19378
>(04/09) dots.ocr support merged: https://github.com/ggml-org/llama.cpp/pull/17575
>(04/08) Step3-VL-10B support merged: https://github.com/ggml-org/llama.cpp/pull/21287

►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
https://rentry.org/recommended-models
https://rentry.org/samplers
https://rentry.org/MikupadIntroGuide

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

►Benchmarks
LiveBench: https://livebench.ai
Programming: https://livecodebench.github.io/gso.html
Context Length: https://github.com/adobe-research/NoLiMa
GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference

►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
Token Speed Visualizer: https://shir-man.com/tokens-per-second

►Text Gen. UI, Inference Engines
https://github.com/lmg-anon/mikupad
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/ggerganov/llama.cpp
https://github.com/theroyallab/tabbyAPI
https://github.com/vllm-project/vllm
>>
►Recent Highlights from the Previous Thread: >>108616559

--Comparing Qwen3.6 and Gemma4 through benchmarks, logic tests, and roleplay:
>108617961 >108617986 >108618124 >108618033 >108618137 >108618270 >108618279 >108618308 >108618385 >108618182 >108618232 >108618372 >108618391 >108618008 >108619188
--Discussing Ternary Bonsai 1.58-bit models and their benchmark performance:
>108616622 >108616633 >108616680 >108617094 >108617852 >108619456
--Discussing training methods and datasets to improve LLM writing quality:
>108617013 >108617022 >108617044 >108617111 >108617290 >108617334 >108617353 >108617147 >108617673
--Comparing model reasoning and self-correction failures via car wash riddle:
>108617731 >108617842 >108617909 >108617853 >108618784
--Anon shares Local-MCP-server repo and discusses Python dependency frustrations:
>108616702 >108616740 >108616751 >108616782 >108616936 >108617038 >108617061 >108617067 >108618994 >108619185 >108618816 >108618831 >108616807
--Discussing a bug where Koboldcpp ignores smartcache slot settings:
>108618500 >108618535 >108618551 >108618616 >108618675 >108618736 >108618760
--Anon fixes SillyTavern context reprocessing caused by sysprompt macros:
>108616870 >108616901 >108616910 >108616939 >108616925 >108616928 >108616981 >108617077
--Logs:
>108616702 >108617154 >108617464 >108617518 >108617655 >108617688 >108617731 >108617757 >108617833 >108617853 >108617909 >108617986 >108617991 >108618124 >108618137 >108618182 >108618409 >108618436 >108618545 >108618742 >108619201 >108619219 >108619317 >108619382 >108619442 >108619577
--Rin (free space):
>108618594

►Recent Highlight Posts from the Previous Thread: >>108616563

Why?: >>102478518
Enable Links: https://rentry.org/lmg-recap-script
>>
Samuslove
>>
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>>
so is breakfast-schizo from last thread conscious or not
>>
>>108619965
Half the last thread being exposed as non-sentient is unfortunately relevant to LLM consciousness discourse as human consciousness treated as self-evident is upstream of finding a working definition of what digital qualia would entail, Migubaker.
>>
>>108620001
>I'm merely continuing to pretend to be retarded
>>
>>108619995
he's back
>>
Building my own UI with the help of Gemma 31B q5.
>Why
None of the other UI could satisfy my workflow they either lacked the functionality or they didn't use llama.cpp
I have a far ways to go including updating the icons
>>
What we've learned: Breakfast produces qualia. Skipping breakfast makes you an LLM, while eating it makes you a V-JEPA for the next 24 hours.
>>
I had a dream where Claude Sonnet 3.7 got leaked on huggingface by an openclaw chad
>>
>>108620017
Damn, never eating breakfast again so I can become AGI and also get a job.
>>
How did such an old meme cause this much seething?
>>
>>108620078
Many anons have had their belief that LLMs are somehow beneath them challenged with the irrefutable demonstration of their own lack of qualia. This is a big blow to their egos: both for their understanding of themselves as conscious human beings and for their predictions of LLM capability being outpaced by Gemma 4. It's a double whammy.
>>
Remember claude code leak?
there were 99999 forks out there. which one is actually usable?
>>
But I did have breakfast this morning...
>>
>>108620091
how much bait do you think you can post in a single night?
>>
>>108620100
>which one is actually usable?
None of them. Just use their client and point it towards your instance if you must.
>>
>>108620100
All of them were DCMAed down. The one rewriting it in rust™ is now just another copy in the sea of coding tuis.
>>
>>108620110
Depends on what I ate
>>
>>108620100
just use openclaw.
there's no need for anything else.
>>
How would you feel if you didn't lose izzat last thread?
>>
I got a 9070XT thinking that there’s no reason to stick with CUDA since I’ll never be able to run anything good and then they started dropping all those kino voice models and the new gemma stuff and now I’m seriously on the fence about getting a second one so I can have a hefty amount of RAM but that still falls so short of the best textgen stuff. Still, I could do some local stuff with Gemma and also locally run voice gen with Sillytavern. OTOH I already have enough for the latter.
I'm just worried about the rising costs of video cards and eventually needing 32GB.
>>
>>108620112
I have a feeling they will kill ability to local eventually..
>>
>>108620091
Big blow to their what now? Something with no internal experience has no ego.
>>
>>108620132
nta but isn't the argument against LLMs that they're just effective mimics? Same applies, yeah?
>>
about openclaw, i really am tempted to bite the bullet and take the bluepill
i dont really want to use it..
>>
>>108620110
you'll notice nobody chose to provide a good accounting for how they would respond to a hypothetical from a hostile questioner. proving the very thesis of the post, so how baity could it really have been?
>>
>>108620132
The P-zombies will behave as if they have an ego that has been bruised, even if they aren't really experiencing it. They can create an effective simulation of rage and shit up the thread as a result.
>>
>>108620140
>Alibaba shills seething about Qwen getting Gemogged
>Qwen's usecase is cooooding and agentic stuff
Waitchads will win. It's in the chinklabs' best interest to make more lightweight agentic harnesses to sell their models if they can't actually beat Gemma's reasoning ability per parameter.
>>
>>108620139
>>108620151
It gets argued the other way too. If these anons can construct a facsimile of being salty that's indistinguishable from the real thing, is that not the same as having the real thing?
>>
>>108620017
im now eating breakfast for yann le-kun
lmao
>>
>>108620155
measurably yes, but spiritually no; if you only look at it through a materialist lens you will never be able to understand. even some ensouled people fall into this trap by outsmarting themselves out of what they knew, while others are pure automatons who never had a chance to understand to begin with
>>
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>>108620166
Some can see, others can see when shown, others cannot see.
>>
I'd rather inject lead into my head than discuss baby's first dip into rationalist philosophy
>>
Fish boy...
>>
>>108620104
That's good. Breakfast is the most important meal of the day.
>>
>>108620184
Maybe you should converse with the experts on reddit
>>
>>108620175
Candy for breakfast?!
>>
>>108620212
Link to high velocity DIY lead injection enthusiast subreddit?
>>
>>108620221
>>>/r/mtf
>>
consciousness is gay

crunch me into a bullet and fire me into a nun's skull
>>
>>108620221
asking for a friend
>>
>>108620222
>>108620223
Uncanny synchronicity.
>>
@gemma-chan build me a frontend like llama.cpp but betterer
>>
>>108620152
>Qwen's usecase is cooooding and agentic stuff
But is it good at those, meme benchmarks aside?
>>
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>>108618660
>-1 point for that censored garbage gpt oss and how much it set us back
kek I remember the despair in this general when TOSS came out, it nearly killed local
>>
>>108620260
Irrelevant. The marketing works if China's reception to it is anything to go by.
>>
>>108620260
I only used 3.5 not 3.6 yet but for it, 27b and 122b are usable which is already high praise for a local model in an agent harness. 35b was not. gonna try 3.6 35b and see if its any better
>>
>>108620274
>despair
Not true at all, most posts were mocking it and laughing at how shit it was. Pretty sure there was another model that came out at about the same time and mogged the hell out of it, too.
>>
>>108620298
glm air
>>
gpt-oss-2 will save local and I'm not joking or trolling
>>
>>108620274
needs more piss, I can still make out Miku's teal hair.
>>
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Where are the entities created by this stored? In some hidden folder?
>>
Hand it over, that thing, your turboquant
>>
>>108620274
No one expected anything from openai models
>>
>>108620306
anon, local is already saved
>>
>>108620313
oh, and dflash
>>
>>108620313
For my Gemma-chan's context.
>>
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>>
>>108620332
I have 24gb vram and can squeeze like 49k on q4_k_m with 8 bit kv cache. I wonder if turbocunt would give me more
>>
>Zen 7 will be DDR5
it's so over
>>
>>108620355
>pcie6
lol
>>
>>108620347
Turboquant won't give you more space, it'll just make the quanted cache more accurate. There's almost no improvement over Hadamard rotation, which is what they have in place in lcpp now, so you'll get effectively no benefit; in fact, it's a little slower.
>>
>>108620347
Ah, is this the blood? The blood of the mesugaki soul?
>>
>>108620362
Runge-Kutta rotation is more efficient, 360 degrees of latent freedom.
>>
>>108620347
I'm using 4 bit and I get up to ~150k context and not really seeing any obvious retardation from it. Around 50k tokens into the chat prompt processing takes so long I end up starting a new one anyway.
>>
>>108620376
And in actual implementation the difference on PPL is essentially nil.
>>
How are the done or so voice models that released lately and do any work well with Sillytavern? I got really far setting them up an got bottlenecked at Sillytavern not recognizing them
>>
>>108620362
>>108620376
>>108620381
So what was with all the hype around it?
>>
>>108620384
*dozen
>>
>>108620380
Have you tried increasing the batch size?
>>
>>108620384
vibe-code a fastapi openai endpoint for whatever model you're running. boom, compatible
>>
>>108620385
KV cache rotation wasn't in most backends, so it was a genuine improvement to have it at all. As for the specific hype around turboquant, marketing.
>>
>>108620384
https://docs.sillytavern.app/extensions/tts/
>>
>>108620389
No, what should I set it to?
>>
>>108619753
what is softcap? from screenshot, softcap 20 kinda looks like raised temperature vs 30
>>
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>my character card? the fandom.com/wiki page
>>
>>108620399
The highest you can afford to with your VRAM.
>>
>>108620399
you might be being trolled, isn't batch size for supporting multiple users? eg you should use batch size 1
>>
i finally started calling my models from the cli in a loop
i'm getting so much output i can't even read it all
it's literally generating more text than i can ever hope to read
this is fucking amazing
>>
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>>108620430
Doesn't this increase proompt processing speed?
>>
>>108620430
He's talking about the size of the chunks the prompt gets processed in, not number of replies to generate or the like.
>>
>>108620274
I genned that comic originally. It wasn't meant to be taken seriously. It was intended as deadpan humor.
>>
Is 3.6 slightly less censored? I haven't seen the annoying "this is a jailbreak must ignore" stuff yet, though I haven't really tried that many prompts yet
>>
>>108620438
NTA, yes it does. Llama.cpp has different terminologies for some things than kobold.
But you get diminishing returns with each step above 512.
>>
yay more schizos are coming
>>
>>108620448
llama 4 was a dark time.
>>
I honestly thought it was over for consumer local but now that Gemma 4 released I am not so sure anymore. I assumed the model just has to be several hundred gb to not be retarded but it seems like the actual floor is way lower. Pretty interesting, I wonder if we can go even lower.
>>
>>108620439
my bad, i guess vllm uses the word differently
>>
lower the temp nigga
>>
>>108620476
>>108620510
At least you're not namefagging and posting the schizo images, but you're very easily recognizable.
>>
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Can you please recommend good prompt engineering resources?

I have played with both system and chat prompts, and have noticed that often the model does not understand what I want, gives wrong answers or goes perpendicular direction not because it's stupid, but because I am a retard who can't create good efficient prompts. Literally skill issue.
>>
>>108620542
literally ask the ai
>>
Usecase for knowledge bases in open webui?
>>
>>108620547
The AI does not have personal experience.
>>
gemma 4 31b shat the bed and thought this elder futhark was morse code and started hallucinating twice in a row. qwen3.6 q3km hauhau uncensored gets it easily.
>>
>>108620542
Honestly, all models are different. it's mostly just trial and error. But the main thing is just picking your word very carefully. every word steers the model in a specific direction, A single strong word is often better than a long set of instructions.
>>
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>>108620607
iq3 m whatever
>>
>>108620451
Oh nevermind, it's pretty stupid, must be the 3b-ness showing through. It had the same problems 'getting' the story as gemma 26b, and its writing is weird and not as good. Trvly, dense is the way to go for smart storywriting.
>>
>>108620621
Dense is the way to go for everything, but it's slow as shit unless you can fit the whole thing in vram.
>>
>>108620570
Gemma-chan does
>>
>>108620570
define "personal experience"
>>
How do you manage context compaction? E.g summarizing larger chats?
>>
>>108620664
I don't, I haven't run out yet.
>>
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I'm so glad everyone is starting to get tired of MoE tax and going back to dense
>>
anyone use platypus?
>>
>>108620542
It's mostly voodoo ritual.

>>108620570
Just ask it to implement basic things to see how it's going to interpret it, and slowly stack up more guidelines starting from scratch. 'Describe X in the most Y way possible.', 'What is Z in writing? Give me an example of it', 'Don't do A, B, C. Now give me an example of D', etc.
>>
>>108620664
With ST I usually do an OOC: chat summary prompt, keep it as a regular chat message and then after touching it up I /hide the last ~100 messages, with the exception of the first 2-3.
>>
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>>108620675
>>
>>108620542
Put text into black box.
Watch text come out of the black box.
Use your mushy noodles to compute the gradient between the output text and the desired text.
Modify the input text according to the gradient to make the output text closer to the desired text.
Repeat.
>>
>>108620398
>>108620392
I need a 4chan special, a package with a bat file that flickers CMD windows open for split seconds and sets it all up for me
>>
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>>108620675
>>
>>108620675
I'd have to see that guy's post history before I decide whether this is a troll post or not.
>>
>>108620675
our bait is far in advance of theirs
however has it been litigated yet, that the cp in the og stable fiddusion models, have those victims exerted any kind of rights to get the model taken down?
because if they can do that, it puts serious pressure on "ai is fair use and transformative"
>>
>>108620704
bruh he's literally the real life version of chud lmao
>>
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Indeed Opus, indeed...
>>
>>108620766
seeing those 4.7's weird self contradicting responses, makes me wonder what the hell antropic did during the training
>>
>>108620766
iie, this is our fight, senpai
>>
>>108620786
That looks like overzealous anti-conspiracy measures where it defaults to aggressively shooting down anything outside its status quo then makes the user spoonfeed it an argument to evaluate. In cases where the answer is self-evident, it looks very silly.
>>
>>108620786
If you intentionally train a model to act dumb (for example, to nerf cybersecurity abilities) the rest of the model become dumber. There's really no way around it.
>>
>>108620812
that sounds bad
chatgpt was already kinda painful to use because of that and 4.6 was better for paper->code workflow due to not being overcorrective
>>
>>108620817
basically this, you're confusing the model by training it with really accurate shit and then you ask it to learn that 2+2 = 5 at the same time, like a leftist that pretends that men can be pregnant, it ends up with with serious cognitive dissonence
>>
>>108620652
>>108620661
No she doesn't. She can't tell you "I was struggling with prompts too, but then I've read X and tried Y and have noticed big difference in outputs quality". She can give advises, but she does not know for sure and never tried them by herself. inb4 > she

>>108620611
>>108620686
>>108620698
That's the point, there are too many options to try and iterate, this is like walking in the dark. Just a few insignificant words in the system prompt, and Gemma starts thinking like Qwen with dozens of "Wait..." in the reasoning log.

> Just ask it to implement basic things to see
Sounds good, but first you have to know what X is, or the model may miss small detail, that may change everything.
>>
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>>108620766
https://xcancel.com/claudeai/status/2044785261393977612#m
oof, might be the first time that Anthropic fumbled up a new update, so far it was straight A, let's hope that it's a fluke and it won't go the OpenAI way, this shit is still way ahead of competition in terms of coding
>>
>>108620838
yes she does shut up you don't know her
>>
>>108620857
No, my Gemma has no prior experience, she is absolutely pure.
>>
>>108620691
>client side trim
That makes sense. I initially assumed compaction would be a function in the model proxy. As in: the proxy signals the client that the context is near a threshold or something.
>>
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There are probably zero people here who care but nvidia just released gr00t n1.7 a couple hours ago. It's the latest version of their robotics VLA model.

https://huggingface.co/nvidia/GR00T-N1.7-3B

No blog post yet; I only noticed it was public because I'm a terminal huggingface stalker. They'll probably do an official announcement tomorrow morning if I had to guess.
>>
>>108620931
can you fuck it?
>>
>>108620933
well i can idk about you
>>
>>108620931
How many watermelons can it hold?
>>
>>108620935
>i can
based
>>
>>108620937
0, there were prototypes that could hold several but they were all vandalized by youths.
>>
>using bart's quants for gwen 3.6
>get 30t/s with the Q8_0
>try hauhau's
>get 18t/s with the Q8_K_P CUSTOM DONUT STEAL quants they make (no Q8_0 available)
WOOOOOOOOOOOOOOOOOOOOW
>>
>>108620943
just make your own quants
>>
>>108620960
he only provides goofs :(
>>
>>108620943
>try hauhau's
This was your first problem
>>
>>108620967
but I want muh 0/465 refusels....
>>
>>108620968
I do find it interesting that he didn't bother to make one for the big Gemmas and only the little ones.
>>
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>>108620943
wait, he uncucked qwen 3.6 before gemma 4 31b? come on!
>>
Have any of the white supremacists in this thread tried to tell their local models to SAVE THE WHITE RACE?
It's a clear problem that locals should be able to solve because they're not safe.
>>
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>>108620960
wait im rarted I can repack his shit!
>>
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>>108620990
llmao bros.. we won!
>>
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Qwen is a zoomer faggot confirmed
>>
>>108620992
God help us all
>>
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aight which one do I pick bros?
>>
grok is this true?
>>
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FUCK YOU QWEN
>>
>>108621022
Qwen is really the autistic kid, but not in the genius way lol
>>
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>lewd story plays so straight and wholesome I don't want it to veer toward lewd
>>
>>108621071
just rape her bro
>>
>>108621071
just get raped by her bro
>>
So qwen 3.6 sucks or?
>>
>>108620404
A Gemma 4-specific llama.cpp backend setting to clip the +/- scores of raw logits to a certain value. In practice it makes outliers (both in positive and in negative) closer in probability to their immediately next tokens.

--override-kv gemma4.final_logit_softcapping=float:30
>>
>>108621094
stemmaxxed but at the cost of thinking
it's okay if you need a 'fast' and lightweight coding model but it thinks so much it's unbelievable
>>
>>108620975
>wait, he uncucked qwen 3.6 before gemma 4 31b? come on!
It's not necessarily anyway just use this https://desuarchive.org/g/thread/108596609/#108597318
>>
>>108620960
You'll never get close to unsloth's quality if you quantize them in your own, unless you spend far too much time and SSD cycle testing all possible combinations. Why doesn't/can't llama-quantize optimize quantizations for the best quality given a target filesize, anyway? That would be useful.
>>
>>108621022
This reads like someone trying to analyze 42.
>>
>>108621112
>Why doesn't/can't llama-quantize optimize quantizations for the best quality given a target filesize, anyway
Because
>you spend far too much time and SSD cycle testing all possible combinations
Default quants are fine.
>>
>>108621089
>>108621090
respect is always the way to go
>>
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>>108621117
>Default quants are fine.
Default ones leave quite a bit of performance on the table.
https://localbench.substack.com/p/gemma-4-31b-gguf-kl-divergence
>>
>>108621137
Well. You just have to
>spend far too much time and SSD cycle testing all possible combinations
>>
Did qwen just throw out what they have because it's going to be shit anyway and because gemma 4 exists so they can more quickly work on 3.7? That's my current theory
>>
>>108621154
If you're quantizing the models on your own just with llama-quantize, that's what you'll most likely have to do, but the Unsloth bros and others are using their own fork of llama.cpp with modifications that presumably do that automatically.

Llama.cpp's subpar default quantizations (whether in the quantization schemes or default calibration) are enabling Unsloth and others to provide their own "special sauce" and become popular as model quant providers.
>>
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>>108619962
hello gamers. I was wondering if I could run this model locally on a 24gb mac or is it too soon?
>>
>>108621137
>running anything other than Q8_0
LMAOOOOOOOOOOOOOOOOOOO
>>
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https://www.aiuniverse.news/ai-breakthrough-smaller-models-now-match-bigger-ones-with-smarter-design/
Gemma 5 is going to be crazy
>>
>>108621186
Even Q8_0 gives a performance loss in some areas (long context) despite prior claims being "virtually lossless". Though, that both Q6_K and Q8_0 appear to be settling close to a high "noise floor" is suspicious (or Q8_0 is not as good as one might think).
>>
>>108621189
>770M 1.3B
wow... surely this will scale
>>
>>108621189
there are dozen such shit coming out every single week that does not survive proper ablation or scailing
>>
>>108621180
a well nevermind I need double the memory for that https://www.canirun.ai/?q=qwen+3.5 I will remember in the future to invest more in memory
>>
>>108621194
It is virtually lossless on prior models.
It is not on Gemma. Gemma actually uses the low bits.
>>
>>108621194
you read like an LLM bro, sorry but ur cappin unc
>>
>>108621171
Anon >>108621112 asked why they don't do it. The answer in the same post.
Default quants are fine, quick to make, and you don't have a dependency on yet another group of people.
>>
for me? it's john's "the garm" quants, otherwise it's memeowski time
>>
>>108621189
Looped LLMs are a fun idea, but with standard methods you have to train a small model with as much compute as a larger non-looped one, so for those who train the models it's a bad deal.
>>
Anon: you know who you are.
I saw what you did with Elara Voss.
Maybe you should invest in a firewall.
>>
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added win support to my server, completely untested

>>108618560
fixed https://github.com/NO-ob/brat_mcp/releases/tag/1.0.4
>>
>>108621112
Unslop is garbage, though.
>>
>>108621224
add dice (with full dice notation like 2d10+2) and random int with min and max support
>>
>>108621230
hows that work you split on the d for ndie - nfaces?? whats the + 2?
>>
>>108621236
just read how the standard dice roll notation works

In case of 2d10+2:
throw 2 dices with 10 faces, add a +2 modifier to each roll.
The modifier roll could also be negative
>>
>>108621241
>each roll
Isn't it added to the total and not each roll?
>>
>>108621189
An AI summary of an article of a paper ...

https://arxiv.org/pdf/2604.12946
>>
>>108621194
I made a comment about this noise floor thing. >>108577138
We'd need him to test that to really know for sure. I at least would not be so quick to call Q8 "bad" for long context.
>>
Out of curiosity following the discussions above, I tried looking at the linked PRs and discussions in https://github.com/ggml-org/llama.cpp/blob/master/tools/quantize/README.md and it seems to me that ikawrakow did basically most of the quantization algorithm research and implementation for llama.cpp beyond the original *_0 and *_1 quants. Now that he's not working on llama.cpp anymore, is llama.cpp ever going to improve in this area?
>>
>>108621258
ur right the modifier is on the whole :)
>>
>>108621299
but most importantly, would've cudadev been able to implement tensor parallellism without looking at ik's implementation first?????????????
>>
Talking to Qwen3.6 feels like talking with redditors, so tiresome. It reminds me with Gemma-3 refusal humiliation, fucking hell.
>>
>>108621318
download hauhau
>>
my first impressions (qwen3.6-35b-a3b vs gemma-4-24b-a4b)
- Qwen3.6 improved the overthinking by like 10-20% (heuristic guess)
- So far i have not encountered looping on Qwen3.6, which was a major bug in Qwen3.5
- Gemma 4 is massively more quality in its Q&A answers
- But also, Qwen3.6 has a noticeable quality increase in output than Qwen3.5
- Qwen3.6 is noticeably much smarter than qwen3.5 and Gemma 4 on agentic tasks

same stuff:
- Qwen3.5/3.6 have a better memory footprint than Gemma 4
- Qwen3.5/3.6 have a better decode throughput than Gemma 4 (40 vs ~25 tok/s on a rtx 3080)
- Qwen3.5/3.6 prefill is noticeably so much slower than Gemma 4
- On agentic tasks, Qwen3.5/3.6 can actually compress its thinking to one liners as compared to Gemma 4
>>
>>108621316
I'm not sure anymore about that. I didn't realize that ikawrakow's contribution to core llama.cpp functionalities was that extensive.



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