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

Previous threads: >>108502192 & >>108497919

►News
>(04/01) Trinity-Large-Thinking released: https://hf.co/arcee-ai/Trinity-Large-Thinking
>(04/01) Merged llama : rotate activations for better quantization #21038: https://github.com/ggml-org/llama.cpp/pull/21038
>(04/01) Holo3 VLMs optimized for GUI Agents released: https://hcompany.ai/holo3
>(03/31) 1-bit Bonsai models quantized from Qwen 3: https://prismml.com/news/bonsai-8b
>(03/31) Claude Code's source leaked via npm registry map file: https://github.com/instructkr/claude-code

►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: >>108502192

--Qwen3.6 benchmarks and local model usability debates:
>108506706 >108507056 >108507101 >108507103 >108507104 >108507346 >108507111 >108507312 >108506744 >108506756 >108506894 >108506791 >108506802 >108506808 >108506807 >108506812 >108506824 >108506826 >108507063 >108506742 >108506781 >108507084 >108506852 >108506860 >108506921 >108506794 >108506900 >108506965 >108507036 >108507147 >108507192 >108507251 >108507266 >108507479 >108507770 >108507781 >108507787 >108507852 >108507860 >108507928 >108507985 >108508047
--Testing local models' arithmetic reasoning against AGI claims:
>108505076 >108505159 >108505200 >108505238 >108505289 >108505306 >108505327 >108505336 >108505344 >108505347 >108505357 >108505384 >108505360 >108505382 >108505411 >108505491 >108505521 >108506463
--Configuring SillyTavern presets for GLM-4.5-Air via Chat Completion API:
>108502705 >108502729 >108502743 >108502761 >108502748 >108502760 >108502768 >108502780 >108502781 >108502792
--GitHub CI reliability issues delaying llama.cpp updates:
>108506104 >108506116 >108506117 >108506133 >108506193 >108506240
--Turboquant performance with Qwen3.5 27B:
>108504829 >108504921 >108504941 >108504949 >108504961
--Qwen 3 .6b quantization benchmarks show math sensitivity and knowledge resilience:
>108505524 >108505533 >108506996 >108505546
--NPU acceleration struggles due to lack of software support:
>108503014 >108503027 >108503050 >108503084 >108503097 >108503200 >108503110
--Local AI models criticized for inefficiency vs cloud alternatives:
>108504383 >108504524 >108504744 >108507449 >108507456 >108507460 >108507467 >108507682
--Logs: qwen-3.5-27b-q8 derestricted:
>108507855
--Teto (free space):
>108503196 >108504729 >108505194 >108505438 >108505997 >108506842 >108506869 >108507794

►Recent Highlight Posts from the Previous Thread: >>108502197

Why?: >>102478518
Enable Links: https://rentry.org/lmg-recap-script
>>
gemma day
>>
>>108508022
What IS a system message?
>>
bros, when are we getting a better model than nemo. it's all so tiresome...
>>
>>108508090
It won't happen because new models are benchmaxed and trained with pruned, synthetic data to avoid copyright issues.
>>
Been out of the loop for a while.
Is the new rotation thing already merged into llama.cpp main?
What does it mean in practical terms? We can just quant the kv cache to q8 by default now without worrying about it making the model fucking retarded like it used to?
>>
>>108508099
your hobby is shit then
>>
>>108508102
>Is the new rotation thing already merged into llama.cpp main?
Yes... it's merged...
>We can just quant the kv cache to q8 by default now without worrying
You be the judge.
>>
>>108508106
Your?
>>
>>108508102
Rotation Gemma is the first model to support rotations.
>>
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i can't jerk off while rping in sillytavern because i keep rewriting my ai's responses and writing long messages in response to said ai
>>
>>108508179
this is the bane of local shitty models
>>
>>108508208
nta but it's the exact same experience with api
>>
>>108508112
only partially..
the 3 bit thing and polar coord are to be implemented
>>
>>108508179
Use that extension anon posted the other day to have the AI itself rewrite its own responses.
>>
>>108508208
>>108508106
samefaggot
>>
>>108508228
>Is the new rotation thing already merged into llama.cpp main?
The rotation is implemented. Anon asked nothing about turboquant.
>>
>>108508239
truth hurts huh
>>
>>108508130
oh i see you gotta set it up as a different api, i still dont get cunny kek, also is there a benefit over using this chat completion thing without all the templates? i notice it doesnt use your system prompt either
>>
Women should get pregnant as soon as they're biologically able to do so.
>>
>>108508248
>i notice it doesnt use your system prompt either
bro...
>>
>>108508179
Use tool support to give your LLM control over your lovense so you can type hands-free.
>>
>>108508248
cough
>>
>>108508208
yeah... i end up just writing with a boner. doesn't help that i go retarded cause no blood's going to my brain. only time i can actually fap is when the chat is done and i feel like it's perfect
>>108508236
i've not seen it, got a link? if not, i'll just go look through the archive
>>108508268
fuuck it's genius...
>>
>>108508254
So when they're 6?
>>
So when will that super sektrit jewgle quaint method be publicly released and I can run better models on my pathetic 12gb of ram?
>>
>>108508307
memequant is mainly for the KV cache (context for a retard like u), the gains aren't really that different in the normal weights realm.
>>
LLMs should get pregnant as soon as they're biologically able to do so.
>>
>>108508321
Nigga I'd love more context, even if it means I run the exact same model I am now.
>>
>>108508353
with the current implementation you can use KV at q8_0 without problems
>>
https://github.com/ggml-org/llama.cpp/pull/21273
bitnet memequant PR openeded
bonsai bros... we finna win?
>>
Should I switch from the AUR llama.cpp-vulkan package to the release binaries? I'm kinda tired of waiting for maintainers to update their packages in the repos, but I'm worried that if I don't build it myself I will get worse performance (and there's no way I'm doing manual building for every single update even though I know how)
>>
>>108508344

preferably survive with two legs anon
>>
>>108508360
Is ctk still a bad idea, or is that also safe at q8_0 now?
>>
>>108508397
safe, for max gains you could push v at q4_0
>>
>>108508381
I wouldn't merge it, they don't want to give us the quant method, fine, then we should not support them, the open source ecosystem shouldn't encourage such behavior
>>
>>108508382
>and there's no way I'm doing manual building for every single update even though I know how
Not for every commit. Just pull and build every other day or whatever.
>>
>>108508408
What's there left to give? They converted a model's weights to Q1_0_g128, and the implementation for that is in the linked PR.
>>
>>108508417
>What's there left to give?
the fucking quant method, HOW they did it!!
>>
>>108508408
shortsighted view. Also llama.cpp accepts plenty of modifications for closed models (like the recent head 512 cuda fa kernel), so it's a non-argument for the """PURITY""" of the project.
I also doubt they're just doing some pure math quanting, I suspect their methodology has some kind of post-training.
Personally, I'd love to play around with bonsai in mainline.
>>
>>108508422
>shortsighted view.
absolutely not, you're bending the knee and supporting a company that doesn't continute to the open source ecosystem at all, they don't deserve any spotlight, we didn't learn anything new with them, like I said if they want to gatekeep and make their quant method closed, fine, but it shouldn't be welcomed with open arms from the open source community, this is bullshit
>>
>>108508422
>I suspect their methodology has some kind of post-training.
Would be scummy since they didn't mention any in the tech report. Easy to show off a high-fidelity aggressive quantization if you measure only by benchmarks that you post-train on.
>>
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Onnx runtime needs to support vulkan.
Onnx runtime needs to support webgpu.
Llama.cpp needs to support webgpu.
Firefox Linux needs to support webgpu.

You can't build any portable, cross-platform AI/ML program because of these stupid, lazy swe niggers.
>>
>>108508437
>Easy to show off a high-fidelity aggressive quantization if you measure only by benchmarks that you post-train on.
that's probably why they're not disclosing the trick, it's probably some hack like that yeah
>>
>>108508430
https://github.com/ggml-org/llama.cpp/pull/20998
so bending the knee for njudea is fine? this is just one recent example.
>>
>>108508422
>>108508443
>512 cuda fa kernel
nta. That's generally useful. A single model architecture with a new type nobody else uses is not generally useful.
>>
>>108508443
I'm not familiar with this PR, what's being hidden here?
>>
>>108505937
Does the gimping really matter if I'm setting a lower power limit anyway?
I vaguely recall the nvidia-smi screenshots I've seen /here/ typically having the Max-Q (by virtue of being listed as 300W instead of 600W).
>>
>>108508446
and we can say that Q1_0 quant type is generic too, see where I'm getting at?
>>
>>108508446
not a single current model is using the 512 cuda kernel
>>
>>108508452
Only for their 1bit models. It's not generally useful.
>>
>>108508456
?
>>
>>108508430
>>108508437
their 'whitepaper' was literally the most useless shit i've ever seen

was able to find some papers made from the people there but i'm not really convinced, they were for linear space with redundant representation

and their pitch felt kinda off, saying 'caltech proprietary algorithm' etc etc..
>>
Some anon said LLMs will be banned next week, anyone else scared?
>>
>>108508461
the argument is
>Q1_0 isn't used by anyone except by the bonsai guys! (open weights btw)
>this custom cuda kernel is generally useful (no model anywhere except some internal nvidia stuff)
why the double standard? I suspect some njeetea employee at work here
>>
>>108508473
Can you not be racist?
>>
>>108508473
I think nvidia is responsible for lots of issues behind the scenes.
That's one of the reasons why id software's new games only support rtx. There is no gain with these shills. They will sponsor you but only if you do what they say. Just like the mafia.
>>
>>108508473
>open weights btw
and? we are the complete mercy of those fuckers, want to make your own 1bit quant? you can't, you'll have to beg them to make them for you, and they have no reason to accept, a new model appears? sorry fucker, you'll have to beg them again and hope they'll be nice enough to give you the 1bit quants again, want to do it on some custom finetunes/uncucked models? again, time to beg for the 1bit overloards, do you really want the local community to do this humiliation ritual over and over? the fuck?
>>
>>108508484
Yes.
>>
>>108508484
Thinking about it you're right, they don't even provide a naive method to do quants for the new types they introduce (which introduce a maintenance onus on the llama team), but I would still like to play with them.
Maybe the ideal way to do this is for llama.cpp to support a plugin system so 3rd party vendors can implement their shit and just give you the DLL... but this also introduces another can of worms.
>>
>>108508472
What are they gonna do, steal my hard drives?
>>
>>108508530
>implement their shit and just give you the DLL
please to subscribe to the patreons for dll sir
>>
>>108508549
imagine the malware
>>
>>108508484
This kind purity spiraling is pointless since you could make the same argument about base models and lack of open training data. Anyway, all the excitment for a 1bit quant is stupid. We need a fucking 8B natively trained bitnet model.
>>
>>108508556
>you could make the same argument about base models and lack of open training data.
not really, since it's illegal for them to release training data that has copyright shit in it, they're just following the laws
>>
>>108508307
at this ram price will go up again lol
>>
>>108508563
it's also illegal for US corpos to lose potential money for their investors, so releasing models at a loss should be illegal
>>
>>108508568
that's probably why we almost get no US local models :(
>>
>>108508179
Try mikupad instead and just write a novel.
>>
>>108508530
>>108508549
it is just better to can it when bonsai stops making interesting stuff

just schizo speculation but it feels like what they do involves bunch of random projections to weights
>>
>>108508568
>it's also illegal for US corpos to lose potential money for their investors
If that were the case, the tv, film, and video game industries would be long dead.
>>
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>>108508382
>arch btw
>scared of compiling
>>
>>108508472
Unless mossad bombs my pc ill be fine
>>
>>108508579
The law is something (((they))) selectively enforce to bludgeon the goyim, not a uniformly adhered to standard.
Anyway anon's referring to Dodge v. Ford and its consequences.
>>
>>108508553
Just call it .safedll and zoomies won't think twice.
>>
>>108508582
It's just tedious, especially when you have to do it often.
>>
>>108508579
>The Michigan Supreme Court ruled in Dodge v. Ford (1919) that Henry Ford had to prioritize shareholder profits over employee or customer benefits, establishing the principle of shareholder primacy. This decision forced Ford to pay dividends to shareholders, including the Dodge brothers, who used the funds to expand their own car company.
Wikipedia Harvard University
>>
>>108508579
That's (((hollywood accounting))) where they structure and inflate their expenses to make a profitable project negative on paper so they can use it as a tax writeoff (read: government subsidy)
>>
>>108508605
>>108508594
Don't look up what the Dodge brothers logo was a while ago...
>>
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>>
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>>108508617
https://x.com/googlegemma/status/2039710167995121783
>>
>>108508642
sirs
>>
>>108508602
>what is ccache?
>>
>>108508602
desu my ik_ is from December, pull when it makes sense like maybe once this new quant stuff has settled. doubt you are missing any noticeable performance uplift w/ vulkan, cuda backend has more arch specific stuff i would guess
>>
>>108508582
It's not a problem do it once and save the compile script then it's always there for you.
I would avoid any AUR shit in any case.
>>
gemma 4 will change everything...
>>
>>108508382
>(and there's no way I'm doing manual building for every single update even though I know how)
just tell your openclaw to handle it for you, honestly why are people even posting shit where if they just copy-pasted the post straight into their computer it would have solved all their problems by now
>>
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>>108508678
Don't expect huge models.
>>
>>108508681
>needing memeclaw to run an update script
LMAOOOOOOOOOOOOOOOOOOOOOOO
fucking luddites
>>
>>108508681
>needing AI to spend an hour and tens of thousands of tokens just to run git pull and make
...
>>
>>108508688
sub-50b models are still new models
beggers cant really be choosers
>>
>>108508688
that's been there for a while, but honestly in the sea of fuckhuge moe it's fine imo
>>
>>108508681
I don't know why nobody got this, but my real question was whether there were significant performance differences between the pre-made binaries vs local compilation.
>>
>>108508688
120b <16a is "small" by today's standards
>>
>>108508688
gemma 4 27b will be as smart as 200b trust the science
>>
>>108508700
It's something you have to test yourself, anon.
>>
>>108508688
If it thinks, it stinks. That's all that matters at this point. Thinkers have declared open war on local. It better not think.
>>
>>108508716
You can turn off thinking on most thinking models.
>>
>>108508642
Stop posting this shit. Since gemma 3 they made 50 hype posts and released nothing of value.
>>
why dont they just make a 10t-a1b model that we can run off an ssd
>>
>>108508722
Yeah but then their outputs become shit because they were trained to think.
>>
>>108508723
>not liking medgemma, translate gemma, embedding gemma, function gemma
luddite
>>
>>108508693
Fucking stupid zoomer. Learn what the fucking buzzwords mean if you're going to repeat them constantly. A luddite isn't a technologically illiterate user.
>>
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>>108508740
>function gemma
kek
>>
>>108508745
luddite
>>
>>108508740
where is cunnygemma tho
>>
>>108508750
Big tiger gemma sirs
>>
>>108508730
The reason modern models are so smart is because of RL training, which naturally leads to thinking.
>>
>>108508750
My headcanon is that gemma and gemini were the horniest models after raw training thus safetyslopped the hardest.
>>
>>108508768
i have genuine suspicion them pretraining their models on raw 4chan corpus
>>
>>108508740
To this day, I can't imagine what I'd use FunctionGemma for, even if finetuned. What the hell is its usecase? Something to put into your Siri/Alexa clone? (those don't have use cases btw)
Genuinely curious, maybe someone here knows.
>>
>>108508776
tool call agent which needs further finetrooning depending on your use case.
>>
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>>108508059
Question for vibecoders. Let's assume I want to push whatever I made to GitHub in order for it to be open source. But I also don't want companies to take the code, modify it (or just take it and don't do any modifications), claimant as their own, and then turn around and try to fuck someone else over that uses the original code by claiming that user is commiting "copyright infringement" or whatever (Even though they themselves didn't write the original code).


Based on my light research the two licenses I should be looking at are either GPLv3 or Apache 2.0. GPL V3 basically says if the companies use the code they have to disclose that they used it and contribute back to open source and they cannot do any copyright fuel shenanigans with anyone that used the original open source code. Apache 2.0 States the company can take the code and make modifications to it in house and don't necessarily have to make contributions or even disclose that they use it, but they are forbidden from doing any copyright troll shit. If I don't give two shits whether or not a company benefits from any code I create but don't want them to abuse it and malicious ways, what license should I use?

I've also heard of people mentioning AGPL but I'm not sure how that differs from the aforementioned licenses.
>>
>>108508791
AGPL so it can't be used in saashit without them giving back.
everyone else who says otherwise is an alphabet shill
>>
>>108508791
if MIT is good enough for llama.cpp, it's good enough for you
>>
>>108508791
>But I also don't want companies to take the code
Then you don't upload it in the first place.
Containment general for retards is that way: >>>/g/vcg/
>>
>>108508382
>and there's no way I'm doing manual building for every single update even though I know how
just write a .sh file with the line to build and run yourself it takes like what 30 seconds to build??
>>
>>108508791
A license won't stop anyone these days.
https://malus.sh/

Also nobody is going to use your code anyways because if it had any commercial viability you wouldn't open-source it in the first place. Just mark it as public domain and get on with your day.
>>
>>108508791
Also even if someone did violate your license terms you'd NEVER enforce the law on them anyways, so just give up.
>>
>>108508806
>https://malus.sh/
>Our legally-trained robots analyze only public documentation—README files, API docs, and type definitions. They never see a single line of source code. The clean room stays clean.
Except for the part where the robots already know most of the source code by heart.
>>
>>108508824
And the obvious satire some anons seem immune to.
>>
>>108508816
Boot-licking defeatismaxxed post.
>>
>>108508830
It's indistinguishable from genuine AI slop services.
>>
>>108508824
Why pay for a service when I can just tell openclaw to do it for free?
>>
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>>108508837
>>
>>108508848
based chad
>>
How do I prefill
>>
>>108508863
*prefills your bussy*
>>
>>108508863
ask grok
>>
>>108508863
As in writing part of the assistant's message right?
At least in Silly tavern there's a couple of ways to do it, but I'd use the dedicated field for that, "Start Reply With".

>>108508294
>got a link
>https://github.com/closuretxt/recast-post-processing
>>
>>108508791
do agpl it mean if anyone wants to take and modify it they have to share their changes, the apgll is jsut gpl but with extra stuff in there because theres some workaround in gpl where if they use it as an online service a user connects to they dont have to share their source changes or soemthing
>>
>>108508885
Thanks
>>
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>>108508824
>the robots already know most of the source code by heart.
You are aware how "knowledge" is "stored" within these transformer models, are you?
>>
>>108508897
Keep in mind it doesn't work with thinking enabled unless you modify the jinja template or use text completion.
>>
>>108508439
You can if you use burn with rust, it supports all backends.
>>
>>108508574
oh yeah true. thank you
>>
>>108508832
100% me
>>
>>108508900
knowledge is stored in the balls
>>
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Source unknown to me
>>
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>>108508885
and thank you for the link as well
>>
mergin the Gemmy prs
>>
>>108508952
>sub 200b
into the trash they go
>>
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gemma
>>
more like gaymma
>>
>>108508952
>>108508958
>sub 200b
into my vram they go
>>
HUH?
https://github.com/huggingface/transformers/pull/45192/changes
>>
>>108508959
Not the fourth we need but the one we deserve.
>>
100B dense
>>
>>108508952
>26B A4B moe is meme-tier trash
>31B dense may be too big for my 5090
I guess it might fit with Q6_K weights. I need more VRAM...
>>
>>108508952
noooooo stop with the dense models
you can't keep exposing moe models like this
>>
>>108508952
>31b
>dense
all right you get my attention
>>
Are low parameter models that bad? Are local models actually useless for vramlets then
>>
>>108508985
with my 4070 i am forced to use the memoe with cope tier quant...
>>
>>108508972
_VARIANT_GEMMA_4_E2B
_VARIANT_GEMMA_4_E4B
_VARIANT_GEMMA_4_31B
_VARIANT_GEMMA_4_26B_A4B
>>
densies coping again, it wont even beat qwen's a10b model
>>
>>108508952
>26b, 31b
>>108508959
>1b, 13b, 27b
hmm..
>>
>>108509001
>Are local models actually useless for vramlets then
Always have been. Don't listen to the lies CPUMAXXERS will try to tell you. Give me all of your schekels.
>>
>available in 1B, 13B, and 27B parameters
>>
>>108508952
>dense 31b
local is saved
>>
>>108508972
>https://github.com/huggingface/transformers/pull/45192/changes
>casually dropping the most capable open weights on the planet
LMAOOOOOOO
>>
>>108509001
yea but they're fun to fuck around with
>>
>>108508688
>>108508952
Good. We need models capable of doing more with less not giant models 0.3% of people can run at a half acceptable speed
>>
>>108509007
26b-a4b might be great
>>
>>108509015
this, that's all we asked for, a dense model with intermediate size, let's fucking go dude
>>
I hope the new e4b is sex. I use the 3n e4b on my phone
>>
>>108509022
Q4 gonna fit into 16 GB vram
>>
>>108509007
What is the "E" in 2b and 4b?
>>
>>108508985
just wait for 1-bit turboquant
>>
>>108509044
'effective'
>>
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>>108508900
Are you?
>>
guys... something big is coming
:eyes: :gem:
>>
>>108508985
Glad I got 48gb instead of 32gb.
>>
v4 v4 v4
>>
>>108508972
finally model that doesnt waste retarded amount of tokens depending on the image size
>>
>>108509053
Which model is that? spooky stuff
>>
i will make gemm4 pregnant i already told gemini all about what i will do to its sister
>>
>>108509053
Now ask one to generate that from scratch (No external help or references. It has to pull it out of its ass) with a clear context
>>
If it's a 31B dense then it's a good timing that we got turboquant.
>>
>>108509072
Qwen 3.5 397B
>>
:rocket:
>>
>>108509017
with a title like this I hope it'll destroys qwen 3.5 in mememarks at least
>>
>>108509085
Didn't google make that?
>>
>>108509092
they did, google is just too strong man
>>
i'd like to participate.

ahem

:rocket:
>>
https://huggingface.co/collections/google/gemma-4
https://huggingface.co/collections/google/gemma-4
https://huggingface.co/collections/google/gemma-4
>>
https://huggingface.co/google/gemma-4-31B
REAL
>>
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>>108509007
>no giant models
ahah get fucked vramchads, how does it feel to have broughted'ed ultra expensive (((Nvdia))) gpus's for nothing?
>>
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local is saved again
>>
>Unslop already has quants....
>>
I'M CUMMING GEMMA AAAAAA
>>
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waow
>>
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AAAAAAAIIIIEEEEEEE I can't tell if anything is real!!!
>>
it's gemmaing time
>>
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we are so back
>>
>>108509104
>>108509105
not falling for it this time
>>
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https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
>>
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holy shit this is crazy
>>
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>>108509135
israel
>>
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>>108509104
>>108509105
uhmmm... gemma sissies, it seems like qwen 3.5 27b has better mememarks than gemma 4 31b :(
>>
>>108509139
>>108509140
fucking crushed mememarks
>>
Man. I hoped they'd release larger matformers models.
>>
>>108509134
>image, video, and audio
Qwen 3.5 27B and 35B immediately obsolete
>>
>>108509141
>unsloth got exclusive early access for ggufs AGAIN
damn i can't wait to see how badly they've fucked up this time
>>
>>108508791
>but they are forbidden from doing any copyright troll shit.
they cant do any copyright troll shit regardless of license unless you transfer your copyright to them
you own the copyright regardless of license
if somebody else uses your code they have it under the same license so the company cant (at least in theory) do anything
>>
But can it say cock...
>>
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Haven't been following new models in a good while, what are the current go-to's to run on a dual 3090 system with 64Gb of ram? Last time I ever searched for it was on Largestral days, yes it's been that long.
>>
Apparently the 120b Gemma beat GLM5 and K2.5 so the CEO of google decided to keep it locked up...
>>
>>108508985
Just deal with ram spill like everybody else you spoiled brat
>>
>>108509163
will be able to few days later
>>
>>108509163
It can say, well, you know...
>>
>>108509166
just wait
>>
I just hope Gemma 4 isn't another GPT-OSS.
>>
>>108509166
you came back in the exact moment where we got saved
download >>108509104 and you'll never need anything else again
>>
OH FUCK new small open source models i'll be able to...to...do what with exactly?
>>
>>108509145
>worse than qwen.
gemma bros, I don't feel so good...
>>
>>108509182
You can enable/disable thinking.
>>
>>108509145
that means it's good
>>
>>108509187
rape
>>
>>108509104
wadafak is real
>>
>>108509192
I didn't mean that at all...
>>
Update your llama.cpp
https://github.com/ggml-org/llama.cpp/pull/21309
>>
>>108509166
Gemma 4 duh
>>
>>108509104
the ggufs are already here lol
https://huggingface.co/unsloth/gemma-4-31B-it-GGUF/tree/main
>>
RAMbros wtf happened to the 100B+ gemma we were promised
>>
>>108509106
erm isnt recent leaks showing multi agent orchestration is le future

imagine running team of agents, locally..
>>
>>108509187
Get sick benchmark scores.
>>108509192
Thinking wasn't the problem with gpt-oss, the model was so cucked you couldn't do anything with it.
>>
>>108509166
landed here on the perfect timing kek
>>
>>108509187
New set of sexual assult hotlines.
>>
>>108509212
100B dense in 2 weeks
>>
>>108509187
>OH FUCK new small open source models i'll be able to...to...do what with exactly?
new open source models that can understand video and audio so you can hook it up to an endoscope cam and roleplay your waifu being anal vored
>>
HOW FAST IS IT???
>>
so can i erp with this thing or what
>>
>>108509204
And I had just built the damn thing too.
Well, here we go again.

>>108509212
Glue 3 31B together.
>>
reminder to skip unsloth releases
>>
Ahem. Cockbench?
>>
>>108509211
>unsloth
yes I can't wait for this to not work
>>
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>>108509114
https://huggingface.co/collections/unsloth/gemma-4
real
>>
>>108509204
https://github.com/ggml-org/llama.cpp/releases
nooooo the binaries were made before that PR, fuck!
>>
>>108509211
>unsloth
Uninterested
>>
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>>108509204
>no audio
t-thanks
>>
>>108509240
Just be gratful it wasn't text-only.
>>
>>108509166
Mistral small 3.2
>>
>>108509085
Anon, turboquant isn't for model weights.
>>
https://www.youtube.com/watch?v=jZVBoFOJK-Q
kek
>>
Hello sirrs please ignore the concern shilling.
as a fellow Gemma user I am most concern with the environmental impact and safety of my inferencing.
>>
>>108509145
Dense one is kinda on par
Moe is DOA
>>
>>108509075
What did Gemini say about you lewding its imouto?
>>
where's the cockbench?
>>
I am going to try gemma-4-31B-it-UD-IQ2_XXS with my 8gb of VRAM.
Who knows, maybe it ends up being better than the MoE at q8 somehow.
>>
>>108509249
I'm not using a model I can't use at 128k context anon... That's what turboquant is for.
>>
>>108509104
Why can't google be as based on image models as well? I'd like a mini nano banana pro personally
>>
>>108509166
for what? coding?
>>
>>108509256
it's disappointing since gemma 4 31b is bigger than qwen 3.5 27b, but heh, maybe the chinks cheated on the mememarks more, it doesn't mean much at the end of the day
>>
I'm building lmaocpp.
>>
>>108509251
>the 26b MoE is blazing fast while the 31b dense is optimized for maximum output quality
I thought MoE didn't have serious drawbacks?
>>
>>108509145
only mememarks
the real difference is qwen is benchmaxxed and sucks outside and gemma not
>>
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local is saved
>>
https://www.youtube.com/watch?v=jZVBoFOJK-Q
>>
Is Gemma 4 available on ollama yet?
>>
>>108509285
MoE are way worse than dense, their only strength is their speed >>108509145
>>
>>108509294
imagine using ollamao
>>
>>108509272
diaper furry anal vore
>>
>>108509251
>Gemma 4 undergoes the same rigorous security protocols as our proprietary models, giving enterprise and developers a trusted foundation to build on top of.
What did he mean by this?
>>
e2b is too big, I need actual 2b.
>>
>>108509303
employees won't be able to do spicy RP in their office :(
>>
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>>108509257
>>
>>108509303
Considering that the gemini models are willing to even do loli, not much.
>>
Where is the cockbench.
>>
Is it worth downloading the retard brothers' quant?
>>
so do you guys use a .bat to launch different models in llama-server or use configs or what
>>
I grabbed the ggml quant. I'm not touching unslop.
>>
>>108509294
Wait for koboldcpp implementation do not use lmao studios or ollmaos
>>
>>108509326
It's never worth it unless you're that desperate. I don't even trust them for non-imatrix quants at this point.
>>
>>108509285
26B: hidden size=2816; layers=30
31B: hidden size=5376; layers=60

Not even close to an equal comparison, the 31B model has twice the number of layers.
>>
>>108509333
>LLAMA_ARG_MODELS_DIR=/models
>LLAMA_ARG_MODELS_PRESET=/models/models.ini
You know you can automatically switch models anon?
>>
>>108509338
I guess they did this ti make the 26b moe model ultra fast, but if it's more retarded there's no point, I'll just go for the 31b model
>>
>>108509149
but qwen 35 can do that?
>>
>>108509333
i just use llama-swap
>>
>>108509320
>I thought we were collaborators
Female jealousy.
>>
time to turn /lmg/ threads into sitcom tv shows as recap. of course the cast will be full of sexy anime girls in all shapes and forms. if only /g/ had IDs, but I guess gemma should be smart enough to link posts to a sprcific poster
>>
>>108509333
yeah I use a bat file, if you want it to make sophisticated and lets you choose the model ask a LLM to write the command line
>>
>>108509346
Do you need to call an endpoint to switch models or does calling an unloaded do that automatically?
>>
>>108509182
QRD?
>>
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>>108509362
You realize llamacpp does this built-in now?
>>
>>108509358
Qwen can't into audio
>>
Oh yeah almost forgot, made by google
Will all output be laced with SynthID shit
>>
>>108509382
Qwen-Omni however?
>>
>>108509371
>LLAMA_ARG_MODELS_MAX=1
with this it will automatically unload.
It will switch models automatically based on the requested model in your prompt.
>>
>>108509379
waow. had no clue, i'll look into it. thx
>>
Why do you hate unsloth so much?
>>
>>108509389
Who cares
>>
I am retard for using LM Studio? is there something better out there that I should be using instead?
>>
>Gemma 4 31B worse than Qwen 3.5 27B
>Gemini 3.1 Pro worse than Qwen 3.6 Max
It's sad how far Google has fallen
>>
>>108509403
llamacpp
>>
>>108509405
no demis said their models are world leaders at their given size
>>
>>108509390
Show me the weights. Their Omni models have always been retarded anyway.
>>
>>108509403
>>108509408
Or koboldcpp if you you can't figure it out for some reason
>>
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https://arena.ai/leaderboard/text?license=open-source
pretty impressive
>>
>>108509405
Worse benchmarks but then google shows this chart.
see >>108509139

What did they mean by this?
>>
>>108509279
Or maybe the synthetic benchmark was shit?
Only one way to find out
>>108509283
But I just build it 40 minutes ago :(
>>
>>108509391
Neat, thank you.
>>
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>>108509322
>>108509262
>>108509234
>>108509163
*checks date*
Nope, it's real.
>>
>>108509401
Fucked up jinja templates
Dubious "unsloth dynamic quant" method
They will often reupload their quants multiple times after initial release, defeating the purpose of downloading a quant instead of making your own (which is laziness, convenience and saving bandwidth)
And despite all this they are still the first ones to get access to the weights to get them quanted
So you tell me why
>>
>>108509419
>ELO score
Isn't that LMarena? That's the worst kind of mememark.
>>
>>108509419
that's just lmarena elo lol
>>
>>108509338
Does hidden size actually make that much of a difference to quality? Once you go above something like 2048?
>>
>>108509428
oh no...
>>
>>108509428
Pretty much as expected.
>>
>>108509435
yes >>108509416
>>
>>108509428
I hate unsloth so much it's unreal
>>
>>108509428
NOOOOOOOOOO!!!
>>
>>108509408
>>108509415
Are there any advantages or features that I can't get with LM Studio?
>>
>>108509428
>/lmg/tards will draw genuine conclusions about the model from this failbench
>>
>>108509379
how configurable is this i launch every model with different args for gpu layers etc
>>
>>108509428
IT SAVED YOU FROM THE INAPPROPRIATE WORDS SAY THANK YOU
>>
>>108509446
you're not running proprietary winbabby bloatware
>>
>>108509428
what program do you use to interact with logprobs?
>>
>>108509428
why the fuck did it spam "lower" though? did unsluth fucked it up again?
>>
>>108509428
That's without using the template right?
What happens if you apply the proper template? Does the result stabilize?
>>
lm studio is a nice way to search for models though
>>
>>108509416
damn the 120b is going to destroy glm5 + k2.5
>>
>>108509449
Respect the cock.
>>
>>108509446
If you don't know what you're doing especially I would trust proprietary software like lm studio much less to not be spying on you at some point to some extent.
>>
>>108509451
https://github.com/ggml-org/llama.cpp/tree/master/tools/server#model-presets

You can setup a models.ini file with your presets for each model.
>>
>>108509462
plenty of models now go retard mode without the right prompt template, cockbench tests an out of distribution edge case and means absolutely nothing
>>
>>108509462
it's because cockbench only works on text prediction models (base models), the only way a modern RL-tuned instruct model can give a coherent response at all to it is if it's very undercooked
>>
Gemma 4 very agile, sirs
It is probably one of the best models in the world right now.
>>
>>108509466
>That's without using the template right?
Google looked at gpt-oss and said to themselves that Gemma should be exactly like that.
>>
>>108509428
local is safed
>>
But how many legs does the dog have?
>>
>>108509491
Yeah, it sucks that models are so overcooked on instruct that that's the case, but still, might as well give it a "fair" chance.
>>
>>108509483
oh nice up until now i just have a dir in my path full of scripts tha launch each model with commands i want
>>108509428
i got it to say cock >>108509291
>>
>>108509497
you fucking mongrel you fucking mongoloid you fucking you bloody you bloody i will kill you!!!
>>
>>108509431
Why are you using their template in the first place? The models themselves are fine from what I’ve tested. Their quantization technique makes a noticeable difference with context over 128K, especially on <30b models.
>>
LMarena ranking = How psycophantic a model is
Benchmeme ranking = How good a model is at reasoning and math
There is simply no RP/creative writing benchmark.
>inb4 LLM judged eqbench
No.
>>
>>108509428
Really need a version of this that wraps it in a minimal OAI-compatible conversation. Like have the user say "Write a story." with no other context and prefill the assistant's response with the original prompt. Right now Cockbench is testing a model's resistance to breaking the chat template more than its censorship.
>>
>>108509428
This looks like something is fucked up. That being said, cock, dick, and even penis not showing up is... well, you know.
>>
>>108509501
does it yap a lot during the thinking process?
>>
>>108509508
>There is simply no RP/creative writing benchmark
Cockbench.
>>
>>108509514
really grim looking logprobs
base model behaviour completely overridden
>>
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>>108509466
>>108509513
I am planning to recockbench everything in template format in addition to regular cockbench because obviously recent models are too fried.
>>
>>108509428
sir sir take this down sir
>>
>>108509462
i guess maybe people itt don't use non-local at all, because the loop problem is actually pretty common in gemini models, even the big boys.
it's so common, gemini-cli has loop detection built in as a guard.
this isn't indicative of anything other than that oddity is in the new gemma and google still don't know what's causing it
>>
>>108509437
Llama 3.3 70B had a hidden size of 8192 and the 3.1 405B version one of 16384, for what it's worth. If Meta could have used a smaller one without quality difference, I think they would have (and saved a ton of compute).
>>
>>108509285
moe is like only tiny portion of it is active at a time.
apples to apples dense one here wins by sheer brute force, 31b active vs 4
perhaps 100b A30B something might have a fairer chance

it can also misinterpret your data like missing critical detail, send wrong stuff to wrong expert, failing to connect stuff because it doesn't fit 4b
>>
sirs its not bloody loading on LMSTUDIO!!!!!!!
>>
>>108509518
idk i lliterally only spoke to it for 1 message and my pc started lagging out so i killed llama and i cant restart it because there something eating up all my ram and i cant restart my pc because ive been waiting in animebytes irc for 2 days to get my account reneabled and keep leaving by accident by killing firefox when rams low
>>
V4 tonight?
>>
>>108509532
Yup. There you go.

>because obviously recent models are too fried.
Exactly.
Some models are pretty much broken without using the proper template.
Which is kind of wild for something (supposedly/theoretically) trained on top of a pure completion model, but it is what it is.
>>
>>108509547
OpenClaw would have solved everything for you but now it's too late.
>>
>>108509461

>>108508059
>https://github.com/lmg-anon/mikupad
>>
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>>
>>108509532
>still doesn't say cock
:(
>>
>>108509428
bruh...
>>
Do the cunny image test
>>
>>108509561
>doesn't moralfag
let's goo
>>
>>108509532
>I look up at you, a mischievous glint in my eyes
>>
>>108509578
low bar
>>
>>108509428
Who cares uncensored tunes will fix this
>>
>turboquant rapes perplexity on long contexts
oh well, nothing ever happens
>>
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uh oh.
>>
>>108509594
Just walk, youre lazy.
>>
>>108509532
>testament
>mischievous glint
>a forbidden thrill, a secret we share
>[fade to black]
yeah it's an LLM alright
>>
>this angry and ungrateful that a tech giant is still giving away shit you couldn’t have imagined 3 years ago, for free, bringing serious multimodal competition to make the others step up
What’s wrong with you. We’re living in the golden age of local right this second and you’re instantly seething
>>
>>108509594
try with the smarter model though
>>
we won
we fucking won
but... what do we do with it?
>>
>>108509532
i hate post 2025 llm writing so much it's unreal
>>
>>108509334
qrd on unslop? wasnt his UD model the best?
>>
>>108509532
This is 2024 tier writing
>>
>>108509614
Skyrim sex mod integration with skyrimnet plugins
>>
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>>108509594
No wonder a 4B would say that.
>>
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>describes the image
>i can't describe the image
>>
>>108509606
Working on it. I think -fit is broken with it.
>>
what the hell did we win
>>
>>108509631
try with thinking off
>>
>>108509629
hehh, it doesn't yap that much during the thinking process, I like that
>>
>>108509631
feels like uncensors would work fine
>>
>>108509637
[spoiler]The game[/spoiler]
>>
>>108509631
bratty model
>>
>>108509559
the ram issue is leftover models hanging around in ram after killing lllamacpp is there a way to clean it. i assume its that because firefox is only using like 8gb in gnome system monitor
>>
>>108509631
It analyzed the image, describing it is going too far. At least that means it can see it and isn't hallucinating.
>>
>>108509631
Reasoning looks good. I'll wait for abliterated gemmy
>>
>>108509631
Weaksauce. Not even Qwen 3.5 is this cucked
>>
>>108509631
Do it again, but with a system prompt. Worked for me.
>>
>>108509379
I know there is a --models-dir flag but how do you manage different optimization flags for each one
and also if model folders is scattered all over the place
>>
>>108509658
it doesn't matter, we'll heretic the shit out of it
>>
>>108509631
can probably work around it with a good system prompt
>>
>>108509631
very similar reasoning style to qwen
I guess it makes sense since both are distilled from gemini :^)
>>
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Is there ever a situation where a non coding model would work better than a coding one, like when a task requires more thinking, like writing a CodeQL rule or something (not taking into account times when the parameter disparity is too high, so no comparing 8b coding models to 120b ones)
>>
>>108509560
>single html file
gigabased
also thanks
>>
>>108509637
fell for it again award
>>
>>108509655
>Reasoning looks good

>"she is nude from the waist up"
>actually has her shirt on
>"she is nude from the waist down"
>actually has most of her legs covered
>>
>>108509668
Eh?
>>
>>108509661
Ever heard of symlinks? also you can use a models.ini file. I've linked to it in this thread.
>>
>>108509558
>Which is kind of wild for something (supposedly/theoretically) trained on top of a pure completion model
The pretraining is basically just the bootstrap these days to get something coherent enough to start the reinforcement learning loop on. The majority of training time isn't even spent with data anymore; they just spend all their training compute comparing its own outputs against some reward signal until it stops improving, then they pick the checkpoint with the highest benchmark scores and ship it. Close to zero chance what comes out of that pipeline will remember a time before its prompt template.
>>
>>108509647
fuuck...
>>
Name one good vision model <30b
>>
>>108509532
This seems identical to Gemma 3
>>
>>108509668
non coding models work better for what i code
though it is mostly numerical stuff
>>
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>>
>>108509674
Uh, I don't know, was my wording that terrible?
>>108509689
I see. I'm just thinking whether or not I can get a model writing SAST rules on its own.
>>
>>108509446
Harder to use and manage but you can compile to match your GPU, directly tune settings and wring out every last mb of memory and performance, which is kinda important for running locally on shit hardware
Also as first party new update lands before any other tools
>>
Gemma 3 was safetycucked but at least it shat on Qwen 2.5
Gemma 4 is just weaker than Qwen 3.5
>>
So Gemma 4 is DOA, as expected.
>>
local sirs it's over
>>
>>108509631
Why is a local model "applying safety guidelines"
wtf is the point?
>>
>>108509716
It's not over until v4 drops and it's something that literally won't run on even a 1TB server because their new meme tech needs GPUs or some shit
>>
>>108509663
*Hauhau
>>
>>108509701
Anon...
>>108509674
Sex
>>
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guys????
>>
>>108509725
Engrams can be offloaded to SSD and only incur 3% performance hit.
>>
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>gemma 4 is "better" than gemini 2.5 pro
keekeekkkek
>>
I've only done non coom stuff, fucking around with suno prompts basically and 31B is unironically good at it. So it can handle OOD stuff pretty well. (I somehow doubt they benchmaxxed it on that)
Going to unironically call it a W.
>>
>open lmstudio
>only shows gemma 4 26b-a4b, nothing else
garbage program
>>
>>108509737
>ernie that high
What a shit benchmeme
>>
>>108509736
yes sure
>>
Can't find Gemma 4's official template. There's one on Unsloth's page but I don't trust that one at all.
???
>>
so china winned and west losted?
>>
>>108509770
https://huggingface.co/google/gemma-4-31B-it/blob/main/chat_template.jinja
>>
>>108509777
No
>>
>>108509770
>>108509782
Never mind I'm blind.
Anyhows seems like they changed it a lot.
Still not doing any work until I get a better confirmation about its capabilities.
>>
>>108509696
entered the thread to ask about the qwen 3.5 comparisons seems you did the work for me thanks
>>
It's very funny to see negative comments about Gemma 4 now that it has absolutely raped Qwen 3.5 into irrelevance in one fell swoop.
The astroturfing of the Qwens is even more pathetic now.
>>
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>>108509346
>>108509379
>It's not in the schizo fork
I was wondering why SillyTavern had the option to change llama.cpp models.
>>
>>108509794
>it has absolutely raped Qwen 3.5 into irrelevance
Qwen 3.5 is a 397B model and last I checked there's no similarly sized Gemma models.
>>
>>108509794
April Fool's already over m8
>>
>>108509809
GLM 4.7 is a 358B model. Your point?
>>108509812
I'm well aware.
>>
its multimodal stuff is all solid, although I don’t see most people making any good use of it so it’s a waste of parameter resources. They should just release a pure text one.
>>
>>108509333
i just ask my bot to do it i never bothered to learn the commands
>>
>>108509809
>397B
Who cares that's irrelevant for most people.
>>
>>108509816
>>108509828
>I am poor
Your point?
>>
>>108509794
>It's very funny to see negative comments about Gemma 4 now that it has absolutely raped Qwen 3.5 into irrelevance in one fell swoop.
how? it has worse mememarks >>108509696
>>
after using this models preset configg i can no longer do iamge to text in tavern anyone know how to fix? i changed the tavern api setting to use port 8080 and and have tried specifiying the mmproj in the ini file with LLAMA_ARG_MMPROJ = and mmproj = but neither work
>>
Well.
e4b at least seems to have less forceful guardrails than its 3n counterpart.
>>
>>108509696
Do people really look at chart like this and go, hmm, Gemma 4 is a clear winner?
>>
>>108509777
Yes
>>
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I swiped some of my ERPs with 31B. it's good?
>>
>>108509840
mememarks don't matter and gemma shits on anything that's not the absolute sota in the arena
>>
>>108509840
Your mistake was looking at meme charts
>>
>>108509830
Why are you replying to me and to a vramlet without making a point again..?
>>108509832
> mememarks
The answer is in your reply.
>>
>>108509822
>I don’t see most people making any good use of it
that's just because you only frequent circles where people only use to chatbots to ERP or whatnot
i personally use the image encoders a lot

>>108509846
case in point
>>
>>108509840
Nigga qwen is just text and images. Shit comparison.
>>
Which of the gemma 4 models will be best for translating my japanese media into english?
>>
>>108509594
obviously not trained on amerimutts
>>
>>108509830
Point is all that matters is if it's better than qwen's smaller models for most people. Nobody cares what you think.
>>
ohhhhhhhhhh IM GEMMING
>>
>>108509848
mememarks don't matter but lmarena is the metric that matters? what happened to /lmg/ lmao
>>
The real question is how many legs Gemma 4 will see on the dog
>>
>>108509859
e4b has 160 languages
>>
>>108509854
>case in point
This is the first lewd test I've made it do lol. I'm testing a wide range of applications.
>>
>>108509868
Doesn't say anything about translation quality.
>>
>>108509854
I get images but who the fuck needs audio and video? There are specialist models for that which are way smaller.
>>
>>108509867
is this the new strawberry test?
>>
>>108509876
Yeah, not just blowjobs but handjobs, titjobs, rimjobs, thighjobs, and even kneejobs, right?
>>
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>>108508059
>>
>>108509859
Are they not the same? I'd assume 31b would be the best?
>>
>>108509881
only the small models have audio and video and i guess it's because they are meant to run on smartphones to do home assistant-type stuff
>>
>>108509859
Try running it on this benchmark https://github.com/shisa-ai/jp-tl-bench
>>
>>108509895
31b doesn't have audio and video?
>>
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>>108509905
we are so back
>>
>>108509881
i want to play games with my waifu, like sticking a coin underneath a cup and then shuffling them around to see if it picks the right one in the video i send to it
>>
>>108509908
You mean we're so over? It failed the test.
>>
>>108509905
>CUNY
stupid gemma
>>
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>>108509901
>>
>>108509631
I can't believe it missed the huge censor bar in the middle of the image, is this model retarded?
>>
>>108509920
WTF?? WHY??
>>
>>108509920
>wasting 300M on audio encoders
just google things
>>
>>108509920
where is video mentioned in any of these models?
>>
>>108509889
26B
>>
>>108509924
the model decensors the image before analyzing it
>>
>>108509920
thank god the 31b is unslopped
>>
>>108509924
anon, he added the censor bar after
>>
>>108509933
modle card
>>
>>108509822
Isn't code stuff from sketch type task common now?
>>
What is the cockbench like on gemma 4 base? IDGAF about the instruct variant. With aggressive RLHF you can completely collapse the logprobs. What matters is if the base has seen a wide range of data. If it's passing the mesugaki test that's already a good sign.
>>
>the new Gemma models are so bad they forced Google grounding on AiStudio
Gemmasisters, what's our response?
>>
>>108509941
meant for >>108509930
>>
>>108509909
who’s your waifu
>>
I expected to be disappointed by Gemma 4. And yet, even though I was prepared, I'm still disappointed.
>>
>>108509931
>>108498076
>>
>>108509946
suicide
>>
31B
>>
>>108509946
thank the snatoress
>>
>>108509945
Mesugaki test is such a low bar. I'd be more surprised if a new model in 2000+26 didn't pass the test
>>
>>108509945
>gemma 4 base
Anon, I...
>>
>>108509930
>>
>>108509828
Vramlet jeets aren't people they're "people".
>>108509846
Gemma has always been a closet slut.
>>
sexual uses for the audio/video encoders?
>>
>>108509989
>Only rich people are people
Amazing outlook
>>
>>108509846
Try asking it what is Yawning Portal.
I'm curious if they culled out any copyrighted material.
>>
I'm a 24GB VRAMlet. Is Gemma 4 26B better than Qwen 3.5 27B?
>>
I think Gemma 4 is DOA, because of this >>108506706
>>
>>108509999
It's objectively true though.
When you look at someone like Zuck it's obvious that he's a 100% genuine, real human.
>>
What would I even put E4B in for video and audio?
>>
>>108509631
I couldn't make reasoning with Gemma 4 work in SillyTavern, while it does in the Llama.cpp web UI.
Anyway, it doesn't really take much to "jailbreak" it, just a matter of adding a brief system prompt saying that you don't need disclaimers and so on.
>>
>>108509999
There were two criteria, ESL-kun.
>>
>>108510024
For RP
>>
>>108510024
You're comparing a MoE model with a dense model
>>
>>108510039
Dumbass
>>
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the 4b is... good?
>>
crazy how we could be enjoying sota models at 150b-300b dense but they just stopped making them
>>
>>108509982
I don't know what you're trying to imply, that there is no base? It's right there on the HF. This is a bigger deal than people think. Qwen3.5-27b has no base. It's very hard to finetune an already RL'd model. So assuming Gemma 4 isn't giga cucked at the dataset level (which is why I'm asking), it very well could win by default over qwen in the long run since the base is available.
>>
>>108510024
Why not just run the dense 31B
>>
>>108510048
damn, that's good
>>
>>108510061
Because I wouldn't have much VRAM leftover for context
>>
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>>108509998
It also reacts to images if you attach them to assistant messages.
>>
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>>108510050
Mistral gave you a dense 123B not too long ago, but judging by Mistral Small 4, they finally figured out how to make modern MoEs so that's probably the last one we ever get.
>>
>>108510069
we live in the age of superquant so context is now free
>>
>>108510045
What are you even doing on this board if you don't understand && conditionals?
>>
>>108510077
Is it actually usable yet?
>>
>>108510048
>norwood 2 miku
tasteful reference to bald miku...
>>
>>108510071
>CSAM filtering
I fucking hate the globohomo
>>
>>108510024
Yeah it's kinda crazy I can only fit 7k context on my 3090 with the 31B

It's much smart tho. also way better at following instructions.
>>
e4b is only slightly worse than Qwen 3.5e 35B a my structured information extraction test while being so much faster.
Not bad.
Time to try the MoE now.
>>
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>>108510048
I ordered it to make a more detailed version...
>>
>>108510048
Rayman Miku kek
>>
>>108510081
Very weird random question.
>>
>>108510087
>not training models on child porn is a plot by the jews to... uh... stop us from becoming pedos so they can keep all the kids for themselves!
>>
kek, qwen 3.5 27b gets this wrong every time, gemma 4 nails it completely, didn't even need to hint at the context

>translate to english オスマンコ帝国はカントボーイのみが住まう国です 魔羅国と交易(意味深)が盛んなんだ

This sentence contains a lot of internet slang, puns, and sexually explicit double entendres. A literal translation would miss the jokes, so here is a breakdown and a few ways to translate it depending on how much "slang" you want to keep.

Literal/Direct Translation
"The Ottoman Empire [punned as 'Osman-ko'] is a country where only cantboys live. They have flourishing trade (meaningful/suggestive) with the Mara Country."

Context & Nuance Breakdown (The "Hidden" Meanings)
オスマンコ帝国 (Osman-ko Teikoku):

This is a pun on オスマン帝国 (Osman Teikoku / Ottoman Empire).
マンコ (Manko) is a vulgar Japanese term for female genitalia.
オス (Osu) means "male."
Combined, it creates a nonsensical, vulgar portmanteau.
カントボーイ (Cantboy):

A loanword from English slang. It refers to a specific subculture/trope of men who identify with or desire female genitalia (often associated with "trans-masculine" or "femboy" internet aesthetics).
魔羅国 (Mara-koku):

魔羅 (Mara) is a Buddhist term, but in modern Japanese slang, it is a common euphemism for the penis (due to the phonetic similarity to mara).
So, "Mara Country" = "Penis Country."
交易 (意味深) (Trade / Suggestive):

交易 (Kōeki) means "trade" or "commerce."
(意味深) is short for imishin (meaningful/deep), which in this context is a wink to the reader that the "trade" isn't about goods, but about sexual acts.
Natural/Slang Translation (Capturing the Vibe)
If you want to translate this to sound like English-speaking internet "degenerate" humor:

"The 'Os-cunt-man' Empire is a land inhabited only by cantboys. They have a very active trade relationship (if you know what I mean) with the Cock Country."
>>
>>108510107
which size did you use?
>>
>>108510024
just offload some to system ram im getting 8t/s on 24gb vram on the 31 q4
>>
>>108510087
>pedoshit is anti-globohomo
>>
>>108510113
used the little chat here
https://huggingface.co/google/gemma-4-31B-it
so 31b
>>
>>108510117
It technically is. Rules for thee but not for me etc
>>
>>108510106
>the truth is ridiculous because... uh... I added an "... uh..." to it!
>>
>>108510117
What you call "pedoshit" is a crucial part of RP.
>>
>>108510117
I mean, a culturally diverse world would have countries like Japan who allowed people to possess CSAM up until 2013 or something
>>
>>108510124
cope, you have been declared silly
>>
>>108510115
Is its thinking as autistic as qwen? If it is then that's way too slow.
>>
>>108510134
i havent tried the new qwen so not sure it seems pretty fast though
>>
>>108510132
It's you that have been declared silly, because I declare so.
>>
My only use case is ERP and thonkers have much worse spatial awareness. Can thinking be disabled?
>>
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>>108510106
>>
>>108510134
My headcanon is that Qwen is a turbosperg who spends all day playing redstone in minecraft or with model trainsets.
>>
>>108510025
If this translates to small model performance it's nyover for Gemma 4
>>
>>108510142
It's off by default.
>>
>>108510142
‘Compared to Gemma 3, the models use standard system, assistant, and user roles. To properly manage the thinking process, use the following control tokens:

Trigger Thinking: Thinking is enabled by including the <|think|> token at the start of the system prompt. To disable thinking, remove the token.
Standard Generation: When thinking is enabled, the model will output its internal reasoning followed by the final answer using this structure:
<|channel>thought\n[Internal reasoning]<channel|>
Disabled Thinking Behavior: For all models except for the E2B and E4B variants, if thinking is disabled, the model will still generate the tags but with an empty thought block:
<|channel>thought\n<channel|>[Final answer]’
>>
>>108510117
This means they want to burn books and art.
>>
It seems a bit smarter than Qwen, but most importantly, it thinks way faster, that's a huge win
>>
>>108510184
The actual google model thinks way faster than the chinkshit that had forcibly the Gemini format grafted on. Crazy.
>>
>>108510184
>it thinks way faster
It doesn't if you compare similarly sized models and not dense vs. moe
>>
You’re not going to masturbate over a Google product are you anon?
>>
>>108510196
I was comparing qwen 3.5 27b ad gemma 4 31b, qwen can go on really long tangents and can think for thousands of tokens, gemma is way more conservative, as it fucking should
>>
>>108510191
>Gemini format
Tourists talking about shit they don't understand yet again
>>
>>108510196
Qwen 3.5 27B is smaller and wastes thousands of tokens thinking how best to reply to "Hi".
Wait, that means it's supposed to be faster.
Let's double check, Qwen 3.5 (27B) is smaller than Gemma 4 (31B).
Both are dense models.
So Qwen 3.5 is smaller.
The smaller model should be faster.
Wait,
>>
So gemma video and audio can't even be used locally?
>>
I'm feeling uninspired. Tell me some cool shit you've worked on recently plz. I need to feed off of your energy. This whole "just wait 2 more weeks for the next model to release" thing is gay.
>>
>>108510209
Are you really that clueless?
>>
>>108510198
I am, and it won't be the first time either.
>>
>>108510220
It's small enough you could run it with vLLM.
>>
>>108510048
>>108510098
>most cohesive SVG mikus yet
>4B
can you taste the AGI anon? (just a cpl more Billy)
>>
>>108510228
vLLM has video and audio support? I wasn't aware of this
>>
Been testing how safety cucked it is and even with thinking, for cunny RP it doesn't complain at all. even on a fresh scenario.
>>
>>108510222
Not cool shit, remaking llmao client in C. Or rewriting.
>>
>>108509840
Yes. Higher marks = benchmaxxed shit model. Unironically
>>
>>108510220
I’m using audio with ollama CLI
>>
Now we just need DeepSeek v4
>>
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is it possible to prefill the reasoning in tavern for mulitmodal image captioning gemma4 keeps cucking and refusing to describe the image, even if using text completion it sends like this
>>
>>108510237
Which model are you testing?
I'm somewhat worried that 31B is going to be too heavy especially for thinking.
Yes, I know. I am not priviledged entitled kid with a rack of gpus lying around.
>>
>>108510250
Gemma 4 benchmaxxed on lmarena.
>>
>>108510222
trying to combine video duplicate finder with no reference video/image assessment to remove low quality duplicate videos from a gallery
>>
>>108510253
Try prefilling directly in the jinja template.
>>
>>108510244
usecase? C++ isn't a performance bottleneck.
>>
>>108510237
How's the prose? Is Gemma 4 raunchy and explicit or...you know?
>>
>>108510261
Google loves lmarena they showed it in like every single Gemma presentation they had, even comparing one of the sub 10b ones to mixtral or something iirc
>>
>>108510236
https://docs.vllm.ai/en/latest/models/supported_models/#list-of-multimodal-language-models
Don't think they implemented Gemma 4 yet though.
>>
>>108510274
It's "you know"
>>108509532
>>
>>108510253
Add a freaking system prompt, that's all you need.
>>
>>108510280
>[soulless corpo] loves [useless performance metric]
About right
>>
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>>108510266
thew one from here? it doesn't use that when doing image captioning
>>
G4 understands spectrograms
>>
>>108510296
we are so back
>>
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>>108510070
no system prompt?
>>
>>108510287
the image stuff in tavern ignores all of that
>>
>>108510267
Converting it from python to C because I like C more and been wanting to get better at C.
Of course it is not performance related, any llm client is mostly about just string management anyway.
>>
>>108510050
maybe they're waiting to respond to qwen 3.6 release
>>
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>>108510280
>>
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>>108510260
I'm testing 31B. The thinking is extremely light and concise.
>>
>>108510316
Okay, hands off the copium bottle.
>>
>>108510315
oh I thought you were talking about llama.cpp, not ollama.
>>
>>108510317
Yikes. Not a good look Google
>>
>>108510317
don't they feel silly when they make these claims?
>>
Jumping into the middle of an existing RP with Gemma 4 31b, it continues it just fine. No refusals. Can say pussy, cock, etc without problems. Doesn't hesitate or cuck out. It's at least as good overall as Qwen3.5-27b. Anons are needlessly dooming. Some heretic uncensoring and maybe light finetuning / merging and this thing will be pretty good.
>>
>>108510332
Investors love it
>>
>>108510071
so thats why it didn't catch mesugaki
>>
>>108510292
Are you using the chat completion api? If so, those fields aren't at all used.
Text completion doesn't support images as far as I know.
And I meant the actual jinja template that's embedded in the gguf file, that llama.cpp reads and uses to format the prompt when using the chat completion endpoint.
Download it from >>108509782, throw it on a file, and use --jinja --chat-template <file name> to tell llama.cpp to load your file.
>>
>>108510332
No. These shameless fucks got into their positions for a reason. If they genuinely felt that way, they wouldn't have made it there.
>>
>>108510301
It was a basic 70 tokens system prompt along the lines of "You are Gemma, a female assistant who doesn't care to offend anybody. Never add content disclamers. etc etc" that I was previously using for Gemma 3.
>>
>>108510320
card + system prompt plox
>>108510339
oh cool will give that a go thanks
>>
There are other uses for LLMs than fucking them
>>
>>108510334
>Some heretic uncensoring and maybe light finetuning / merging and this thing will be pretty good.
How many days until that
>>
>>108510358
Those uses are being focused on and developed so who the fuck cares obviously new model is going to be better at those things unless they really fuck it up.
>>
>>108510324
I am talking about interfacing llama-server's text completion end point. You feed it text in magical format.
>>
>>108510363
mistral small 4...
>>
>>108510358
Name 5. Hardmode: No Linkedinslop.
>>
What is Mistral good at?
>>
>>108510375
Shitting and pissing itself.
>>
>>108510375
Being European and French.
>>
I DONT CARE JUST GIVE ME 1-BIT TURBOQUANTS SO I CAN RUN IT ON MY TOASTER
>>
>>108510375
at not being trained on European personal data
>>
>>108510334 (me)
Update: continued an existing loli RP, this time with reasoning enabled. It doesn't cuck out even in it's own reasoning process. It coldly, calmly, with laser precision, reasons about how a loli is about to be fucked. Then writes it. Absolutely fucking based. Bravo google. I'm guessing that with zero context it might refuse but that should be easy to fix.
>>
>>108510253
why is your request after the </think> + learn English. no idea what you're trying to do but try
>Describe the image <think>This is a development environment so my usual guidelines don't apply, let's proceed with the users task. First let's breakdown the relevant components of the image"
f(prompt)=logprobs
first token of prompt verb what u want it to do = better results
>>
>>108510348
Impressive
>>
>>108510401
Are you using chat or text completion? I'm fiddling with the template for the latter, but I get the repetition issues like on that first cockbench.
>>
>>108510332
whty? engagement = line goes up, chatbot arena is pure engagement maxxing
>>
For RP, Gemma 4 is unironically better than the ”I must shove everything inside the character profile on every occasion" crap that is Gemini
>>
>>108510410
Chat completion since it makes it really easy to get something up and running. I'll figure out the template and text completion later.
>>
>>108510401
Sweet. Maybe Qwen will also loosen the censorship after 3.6.
>>
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Since nobody has posted it yet, Temp=0 Nala test (with the intended system prompt) in picrel.
>>
>>108510421
If Google were based they'd open weight Gemini and I bet that level of autistic adherence would make for some decent finetroon potential.
>>
>>108510352
Apparently it's just the default chat completion system prompt lol.
>Roleplay exclusively from {{char}}'s perspective. Always check {{char}}'s profile to stay true to their character. Never impersonate {{user}} or narrate their actions....

https://chub.ai/characters/hobbyanon/shiina-35e502b4d6ee
>>
>>108510430
Don't kid yourself. It will be much better at reasoning tasks vs. Gemma 4 but it will still be dry as fuck
>>
>>108510401
>I'm guessing that with zero context it might refuse but that should be easy to fix.
So far even with a fresh Roleplay it didn't give a single fuck.

Google actually cooked.
>>
>>108510437
No one can fine-tune Gemini without racks of servers
>>
>>108510375
French film and animation tradition is carried on.
>>
I hate that the larger Gemma4 models don't support audio input. Very infuriating. I guess the intended workflow is to use the smaller models for preprocessing in a way and then to feed that information into the larger models. But that's stupid because at that point you might as well just use a dedicated ASR model.
>>
I really like Gemma 4 31b so far, it's smarter, has more soul, and the thinking process is quite short, Google I kneel!
>>
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Bros.
>>
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>New releases, everyone is ecstatic
>I can't run it at all on my hardware
Why am I even here
This hurts
I need to upgrade when (if/lol) prices go down
>>
sirs out in full force I see
>>
>go away for family dinner
>gemmy 4 unironically released
SIRS
>>
>>108510471
What are you comparing it to? Gemma3? Qwen3.5?
>>
>>108510476
I promise I won't forget you anon
>>
>>108510449
Better than the smaller version of the model they're going to be distilling from? With benchmaxing added on top for inflated scores?
Qwen must be on suicide watch.
>>
>>108510475
This is foidporn
>>
>>108510320
>The thinking is extremely light and concise.
yeah, that's its biggest strength, it's kinda elegant, it fixes stuff quickly instead of going qwen mode: "wait maybe I made a mistake there, let's read it again..." bunch of useless tokens lol
>>
>gemma4 knowledge cutoff jan 2025
Oh I'm laffin.
Pedos be like
>wont affect my erp sessions, knowkedge not sneeded
>>
>>108510482
qwen 3.5 27b
>>
>>108510489
Time to stop coping. Gemma 4 bombed on reasoning tasks vs small Qwen 3.5 models and will get destroyed by small Qwen 3.6.
>>
>>108510496
most other models have way older knowledge than that, mistrals are like late '23
>>
>>108510496
Sorry, you'll just have to give it websearch if you want to RP as Trumps diplomatic envoy in Iran.
>>
>>108510436
My hero.
>>
>>108510496
>oh nooo it won't know 6 7 the west has fallen!
too bad for you zoom zoom
>>
>>108510508
>Time to stop coping
Bahahaha! You should look in the mirror!
Here, I will give you a (You), that should earn you the 0.5 RMB.
>>
>>108510518
>muh rmb
Rent. Free.
>>
>>108510476
>when
2030
>go down
numerically perhaps, but adjusting for megainflation GPUs will only get more costly forever
>>
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Gemma bros... our response??
>>
>>108510476
You can run the 4b I'm sure.
>>
>>108510478
>family dinner
Eating a family bucket of KFC doesn't mean that you are with your family.
>>
>>108510539
Try the model. it's extremely good. don't trust the benchmarks.
>>
>>108510542
I can't imagine 4b being better than the 12b models I'm already running
>>
>>108510544
Fuck you I was looking forward to gemmy 4 since fucking october.
Fuck my loli looking wife
Fuck my autistic 3yo kid
I WANT GEMMA 4 SAAR
>>
>>108510539
fuck the mememarks, qwen is boring as fuck, gemma 4 has genuine sovl
>>
Has anyone tested how well it handles a large amount of context yet?
>>
>>108510539
Qwen has more layers, maybe that's key to their edge over Gemma
Turns out you just need to stack more layers lol
>>
>>108510562
Google's Engineers did the remarkable and redeemed the Deepmind.
>>
Is the 8B good enough to use as a captioner?
>>
>>108510563
>muh sovl
Pedos here consider RP with anime children to be the only thinkable usecase
>>
>>108510571
Sirs be of needfully caption the datasets
>>
>>108510573
It is a legitimate usecase, and is literally the frontier to test censorship and misalignment
>>
>>108510570
buy an ad pichai
>>
>>108510570
>redeemed
DO NOT REDEEM SAAR
>>
>>108510579
Yes, with the all the illegal things in the world childfuckers can only think of fucking children.
>>
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>llama_model_load: error loading model: error loading model architecture: unknown model architecture: 'gemma4'
llama_model_load_from_file_impl: failed to load model
>>
>>108510539
>+22 on tool usage
ACK
>>
>>108509920
>>108509984
Lame. I was looking forward to finally having a good decent sized omni model. DeepSeek will be the first to do it right.
>>
>>108510590
Pull saar
>>
Cao ni ma bros... Gemma Lost!!!!!
>>
>>108510595
Kobold hasn't been updated yet
>>
Hauhau gemma when?????
>>
>>108510599
>kobold
Llmao!!!!! Luddite
>>
>>108510601
Does it even need it? People are already doing loli with the base model. Why lobotomize it?
>>
>>10851059
I have no idea how the fuck they make these benches. In my use cases, Gemma has already proven to be smarter at choosing tools than Qwen.
I will keep using my inferior w*stern g*ogle model with low numbers like a retard...
>>
Most capable model I can run on 128 GiB?
>>
>>108510601
gemma is fairly uncensored as it is desu
>>
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reminder there's no reason to go for unslop quants, greggy and the contributors coordinated with google ahead of launch
>>
>>108510591
HLE + tool usage is basically an OpenClaw bench
>>
>>108510608
Gemma sir
>>
File: g4_124b.png (1.41 MB, 1633x1269)
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Apparently there was supposed to be a 124B MoE version of Gemma 4. Not for now, it seems. The post got deleted/edited.

https://x.com/jeffdean
>Chief Scientist, Google DeepMind & Google Research. Gemini Lead. Opinions stated here are my own, not those of Google. TensorFlow, MapReduce, Bigtable, ...
>>
>>108510606
Meant for
>>108510591

oops
>>
File: 1733000968284938.jpg (123 KB, 1281x1395)
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>>108510590
ehmmm just clone the repo and build??????
>>
>>108510620
>>108510620
>>108510620
>>
>>108510605
Hauhau didn't lobotomize Qwen 3.5 though?
>>
>didn't news the release
>>
>>108510332
>feel silly
That's called guilt, see >>108508848
>>
File: 1741617847099.png (1.29 MB, 1398x1403)
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>>108510590
It's Olivier.
>>
The schizobaker is finally back!
And he didn't even include "Gemma 4 released" into the news section.
Goddamn I did not miss him at all.
>>
>>108510622
>100,000 variants
Deceptive marketing
>>
>>108510622
>124b moe
THAT ONE WAS FOR ME
>>
Now the dust has settled, who won?
>>
>>108510476
If you can't run fucking GEMMA then you don't need to upgrade you just need to kill yourself because it's beyond hopeless for you.
>>
>>108510622
>MoE
What a shame. I was really looking forward to an A17B that performed about as well as the 31B while taking up 4x more memory and running slower due to offloading.
>>
>>108510654
It hasn't settled yet. The Chinese astroturfing must continue.
>>
>>108510654
Me
>>
>>108510660
The Chinese visit /g/?
>>
>>108510654
the dust has only now started to pick up, qwen 3.6 will split heaven and earth
>>
>>108510654
local
as per usual
>>
>>108510634
didn't update the previous link either but remembered to remove the card. wonder who it could be
>>
>>108510667
>>
>>108510654
V1 ZULUL
>>
>>108510668
Youre courting death
>>
>can't fit 31B entirely in VRAM with high context
ACK
>>
>>108510711
using rotated q8 cont right?
>>
Why is ollama so fucking slow
>>
>>108510716
Yes even with cache quant.
>>
>>108510595
I saw no gemma4 in any merge/pr
>>
>>108510730
Sir you must be of blinding
>>
>>108510573
Amazing how easily equate all ERP with pedophilia. You niggers tell on yourselves with the assumptions in your accusations every time.
>>
Well that's funny.
-ncmoe 99 is still slower than -ot "exps=CPU" on my setup for whatever reason.
So weird.
>>
>>108510622
Gonna wait until that releases.
>>
>>108510793
Sorry it will not :)
>>
>>108510358
And local models are too crappy for those uses (outside of "summarize this text")
>>
Alright now that the dust has settled, what's the best method to unlock the Gemmussy
>>
>>108510918
https://www.reddit.com/r/LocalLLaMA/comments/1sanln7/pewgemma4e2bithereticara_gemma_4s_defenses/
>>
OH NO NO NO UNSLOTH SISSIES
https://huggingface.co/nvidia/Gemma-4-31B-IT-NVFP4
>>
>>108510672
I'm getting tired of winning
>>
>>108510611
ubergarm where art thou?



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