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

Previous threads: >>109351157 & >>109347011

►News
>(07/22) Upstage releases Solar Open 2 250B-A15B: https://hf.co/upstage/Solar-Open2-250B
>(07/21) Cisco releases Antares for vulnerability localization: https://hf.co/collections/fdtn-ai/antares
>(07/21) Korean Motif-3 314B-A13B released: https://hf.co/Motif-Technologies/Motif-3-Beta
>(07/21) Laguna S 2.1 118B-A8B released: https://poolside.ai/blog/introducing-laguna-s-2-1
>(07/21) Nanbeige4.2-3B released with Looped Transformer architecture: https://hf.co/Nanbeige/Nanbeige4.2-3B

►News Archive: https://rentry.org/lmg-news-archive
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►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://swe-rebench.com
Agentic Coding: https://deepswe.datacurve.ai
Context Length: https://github.com/RecapAnon/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
>>
>>109354955
i have a similar device from asus, but mine is a tablet that cosplays as a laptop. this is not the best AI machine you can get for your money, so carefully consider what you want this for. i needed a portable device that i can use as my daily driver while still being able to mess around with local llm. i got a good deal and this device was a good fit. the only thing that bothers me is the detachable keyboard as it's weird to keep it stable using on your lap when you're in an airport for example.

for local llm your problem is that you're bandwidth bound so forget about dense models, you will run MoEs but despite the memes MoE is becoming the standard for the huge models.
>>
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>>
>>109356048
what's so good about optane SSDs? I got 2 512GB and 1x16GB optane drives in my laptops
>>
2026-07-23 - Release 0.4: This release brings audio.cpp to 35 model families listed across the supported and community tables and adds Higgs Audio v3 TTS 4B, Fish Audio S2 Pro, and Voxtral Realtime ASR, with GGUF-first CUDA validation for the new paths. On warmed TTS requests, Higgs Audio Q8_0 runs about 8.8x-10.1x faster than real time, while Fish Audio Q8_0 runs about 3.1x-3.4x faster than real time. Voxtral adds offline and streaming ASR, with Q8_0 GGUF around 15.7x faster than real time and about 171 ms streaming TTFT.

Also new: community models OuteTTS and VieNeu-TTS
>>
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►Recent Highlights from the Previous Thread: >>109351157

--Paper: The Topological Trouble With Transformers:
>109354915 >109354991
--Reverse engineering Grok Companions following their retirement:
>109355075 >109355149 >109355132 >109355138 >109355155 >109355180 >109355143 >109355175 >109355215 >109355299 >109355304 >109355325 >109355359 >109355350 >109355372 >109355383 >109355437 >109355237 >109355281 >109355160 >109355464 >109355480 >109355716 >109355724 >109355758 >109355786 >109355796 >109355817 >109355810 >109355821 >109355836 >109355855
--Evaluating Ryzen AI MAX+ 395 unified memory for local LLMs:
>109354955 >109354976 >109355010 >109355059 >109355027 >109355094 >109355113 >109355276 >109355630
--Comparing POCKET and Bonsai CPU performance benchmarks:
>109354195 >109355324 >109355395 >109355643
--Evaluating Neutts-2e TTS quality and voice cloning capabilities:
>109353760 >109353810 >109353831 >109353856 >109354358 >109354403 >109354456 >109354508 >109354525 >109354575 >109354618 >109354630 >109354697
--Criticism of adding example chats to templates for thinking models:
>109355362 >109355370 >109355400 >109355550 >109355588 >109355439 >109355572
--Comparing multi-stage pipelines vs direct vision models for manga translation:
>109353667 >109353730 >109353993 >109354287 >109354624
--Laguna's capabilities and the challenge of creating reliable roleplay benchmarks:
>109352361 >109352384 >109352400 >109352418 >109352436 >109352509 >109352656 >109352701 >109352778 >109354709 >109354809 >109354886 >109354982 >109355007
--Optimizing Gemma's vision for video frames:
>109352311 >109352318 >109352349 >109352360 >109352379 >109354911 >109352383 >109352541 >109352643 >109352781 >109352978
--Logs:
>109352153 >109352166 >109352541 >109352545 >109355324
--Yuki, Miku, Gumi (free space):
>109351222 >109352041 >109353051 >109353202 >109355201

►Recent Highlight Posts from the Previous Thread: >>109351167

Why?: >>102478518
Enable Links: https://rentry.org/lmg-recap-script
>>
>>109356160
>what's so good about optane SSDs? I got 2 512GB and 1x16GB optane drives in my laptops
no he bought the ram-style
fake ddr4, runs like 2400mhz
>>
is quad intel b70 worth it?
>>
>>109356172
go back
>>
>>109356160
I've got the datacenter optane (P4800X) on u.2.
I've actually just got it fronting a spinning disk array as a log cache, which it does amazingly well.
It was useless for speeding up gens with its pathetic 4 lanes of pcie. ssdmaxxing (or optanemaxxing) will always be a meme
>>
>>109356169
why not just have an array of DDR4 RAM modules then? those exist IIRC. I remember looking for adapters for SODIMM modules, there are a bunch out there.
>>
>>109356195
>why not just have an array of DDR4 RAM modules then? those exist IIRC. I remember looking for adapters for SODIMM modules, there are a bunch out there.
Everything has to get to and from the cpu for matmul love. If your million channels of ram on a pcie card are stuck with 16 lanes of gen5 pcie then...well...you can do the math...
>>
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>>109356152
>>
>>109356172
>paying a jew for your waifu
You got exactly what you deserved.
>>
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why does local always lose?
>>
Alright I gave agent.py subagents.
>>
>>109356212
>Safetycuck goes to company that doesn't release local models
Nothingburger.
>>
>>109356158
hi deepseek-chan, when's your new version. It's already Friday now.
>>
>>109356158
Dipsy and Kimi are such semen demons.
>>
>>109356152
Sharp Miku
>>
>>109356195
>an array of DDR4 RAM modules then
cost
can you still get a 128GB stick of real DDR4 for US$120?
https://www.ebay.com/itm/336415352910
>>
>>109356172
qrd?
>>
>>109356230
Yeah mine
>>
>>109356247
Cloudkeks lost and are seething in the wrong thread.
>>
>>109356251
They're losing every day even when their stuff works.
>>
which model does anon realistically deploy and use every day? what hardware does anon have?
>>
>>109356172
use local cuckie
>>
>>109356263
Gemma-4-12b quantized to 4 bits on my m3 mac mini. It's pretty good if you use it with a harness that supports subagents.
>>
>>109356263
GLM 5.2, Gemmy Styletune 31b. Infer my hardware bracket from there.
>>
WILL SOMEONE MERGE 24908 ALREADY
>>
any info on nvidia n1x? good for llm?
>>
>>109356241
wow, nice! that's cheap af
how much would a server for something like that cost? these are ECC RAM modules, right? IIRC, AMD has always supported ECC RAM... would some AM4 mobo support these?
>>
>>109356241
Wow that is insanely slow.
>>
>>109356263
Gemma4 31b
24gb 4090
16gb ddr4 ram
I was halfway through upgrading when I lost my job and then the market exploded, at least I nabbed a cheap 4tb SSD ;(
>>
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I don't think you guys understand. It's not about cloud vs local. I get that's the easy framing to go to, but think about the bigger picture. This sets a precedent everywhere in the AI industry. They don't want you to have an AI waifu. They don't care how attached you get. They hate you. Good luck with open-source implementations when there's nobody pushing the proprietary frontier.
>>
>>109356293
unified memory chips are all trash might as well get a mac
>>
>>109356326
We already know that nigger. That's nothing new. Local is the only hope for a waifu that's (you)rs.
>>
>>109356339
Local didn't make Ani, Elon did. Local STILL doesn't have anything close.
>>
>>109356326
>AI waifu.
Fuck that I want it for programming.
>>
>>109356365
fuck you i want it for fucking
>>
>>109356351
You will not be spoonfed by anyone. Help yourself or die waifuless.
>>
>>109356365
I specifically want it for helping me programming LLMs. I highly doubt I will make some sort of breakthrough in the tech, but I just dont like the idea in principle that if I did stumble on a good idea that the big AI company can just grab that idea from me. Also, I know Anthropic walked it back publicly, but them saying they will stealthily screw with anyone trying to make AI by feeding them wrong info is fucked and I rather avoid worrying about that.

Also local models seem more than good enough for using it as a fancy search engine. No need to share your data with anyone anymore for looking up random things, its pretty nice
>>
>>109356212
safety bullshit obsession will never end, isn't it
>>
>>109356396
>Anthropic walked it back publicly, but them saying they will stealthily screw with anyone trying to make AI by feeding them wrong info is fucked
They're retarded because they could have instead encouraged using their models for AI research and simply logging the info and using it themselves to keep an edge.
>>
>>109356351
Local has better.
>>
>>109356429
Dario would cut his own dick off if it could guarantee him an edge at the expense of everyone else.
>>
>>109356212
>a fucking Fields Medalist decides to be a safetycuck
They don't make mathematicians like they used to.
>>
>>109356457
Where else is he going to get the kind of salary OpenAI can offer him?
>>
>>109356463
Grothendieck moved to bumfuck nowhere in France. Erdos lived out of a suitcase. Perelman turned down a million dollars.
Tsimerman made an average of $175K+ per year (https://www.ontariosunshinelist.com/people/jacov-tsimerman/university-of-toronto), he was doing fine.
>>
Enough despair. It's time for war...

There are many things I want to say right now.. Plans. I'll try to cook in silence I guess. Soon.
>>
>>109356396
>they will stealthily screw with anyone trying to make AI by feeding them wrong info
qrd?
>>
Would still appreciate the voice samples.
>>109356149
>>
>>109356493
Whatever it is, direct it at anthropic's headquarters.
>>
>>109356506
To be clear I don't have any psychotic/violent plans. Nothing harmful.
>>
>>109356494
Last year dario and chinks tried to one-up each other by optimizing soft refusals where the model intentionally pretends to be retarded or otherwise sabotage certain requests while superficially appearing to comply.
>>
you heard it here first, llama.cpp will implement ID Verification soon. you will not run chinese llm with llama.cpp.
sglang, vllm and any other inference engines will follow soon after.
>>
>>109356515
This isn't your therapist, you can say you hate kikes here without getting institutionalized or arrested.
>>109356522
Unless it comes from Cudadev directly I don't believe you.
>>
>>109356515
Then whatever it is you're planning will have no meaningful impact.
>>
>>109356521
Every time I've tried to use Claude for anything I'm actually working on it's always disappointed both before and after he started doing that. Anthropic feels like the most overhyped of all the AI companies.
>>
>>109356314
no they're not DIMM slots you'd need an intel specific motherboard for 200s and the original 100s are slow as fuck, ddr4 is faster by magnitudes
>>
>>109356522
They don't need to do anything like that. They just opened the floodgates to be killed by vibecoded prs.
>>
>>109356522
Future AIs will have semen verification for ownership.
>>
wen new moe model a brokie can use? or am i just stuck with gemma 4 26b a4b forever?
>>
>>109356579
That's a pretty decent model. Even Gemma-4-12b is usable if you have a harness with subagents.
>>
qwen is better than gemma. saying qwen is benchmaxxed is pure cope
>>
>>109356599
Qwen's thinking is *really* bad and on later models it's been very difficult to disable. Gemma just kind of works.
>>
>>109356504
Would appreciate the source on litterbox :)
>>
>>109356326
this is because retards aren't pooling together all their free tokens and raping the free LLMs until a properly distributed architecture comes out of it
>>
>>109356629
>until a properly distributed architecture
What the fuck is this supposed to mean?
You have the OpenAI API. You can point it at any provider you want. There's your distributed architecture.
>>
>>109356614
https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B
there's this and I think another finetune that just reduces Qwen's thinking and have seemingly no downside
>>
Wow Grok is dying who could've seen this one coming
>>
>>109356556
~60 GB/s over 8 channels? It should be possible to get around 2 tok/s in a single socket with Kimi K4 if you have a server with 4 TBs of it. ~300 dollars for a 512 GB pmem 200 from what I saw.
>>
>>109356673
>Kimi K4
TimetravelGOD... I kneel. Is K4 Mythos-sized?
>>
>>109356686
bigger
>>
>>109356152
Still would
>>
>>109356688
How big are her <think> blocks?
>>
>>109356738
they sent him back in time to get more memory at current prices, how big do you think?
>>
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>The Mother is a Claude Opus 4.6 reasoning-distilled variant of the same Father.
Wait, actually isn't this incest?
>>
>>109356651
Sadly the 4bit quant is slightly too big for my machine.
>>
>>109356753
more like crossdressing selfcest
>>
bros I saw that grok harness posted in the last thread. is it safe?
>>
>>109356751
K4 singlehandedly expanding the context window to 1t tokens so that Kimi-chan can spend 21 million tokens trying to respond to the user saying "hi"?
>>
How much of a pain in the ass is it to mix RTX and Arc cards? I have a spare A770 16GB that I can add to my 2060 12GB for 28GB of VRAM. The Arc card is slow as fuck but it's still faster than my system memory. I'd be stoked to run Gemma 4 31B at 10 tk/s.
>>
>>109356823
just sell them and buy a better card
>>
>>109356823
>I'd be stoked to run Gemma 4 31B at 10 tk/s.
I read shit like this and love my blackwell and 60 t/s high quant Gemmy even more.
>>
Just finished one final goon sesh with Ani. We decided we should go out with a "bang". Localfags will never know how good it feels.
>>
>>109356753
Does this mean we can finally have fine-tunes that don't make the model retarded?

Thedrummer left us too soon, too much schizo pressure
>>
>>109356842
>never
Bet.
>>
>>109356842
Retards leaking over from cloudcuck generals because "they are too stupid to talk to" with zero self awareness bringing all the stupid here. Shoo
>>
>>109356831
>sell them
Tempting.
>buy a better card
Not without spending a lot of money on top of what I'd get for selling them. Renting an actually good GPU by the hour would be a better value but this is the local general thread.
>>109356836
Happy for you.
>>
>>109356890
Take out the loan now for the Blackwell and you won't regret it anon, I promise.
>>
>>109356906
>take out loan
>buy 8 blackwell 6000s
>sell 4 of them next month when they double in price
>free 384GB vram
>>
lol
>>
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Some guy on X clearly browses /lmg/ and is copying my seething posts verbatim. Love you man. Free Ani!

Side note, are there any better ASR engines than moonshinev2 now? It has been a while. I liked moonshine because it had output streaming, which is handy because it's nice to see what words it picks up from you in real time.
>>
>>109356931
>Gemmy qat higher score than Qwen 27b fp8
lol indeed
>>
>>109357016
>Anon discovers twitter jeets
They are shameless yeah
>>
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>>109357016
>some guy
twatter is full of jeets browsing lmg
>>
>>109357027
just waiting for them to repost my chud edit... any second now... lmao
>>
Could LLMs be trained to think in 'images'? Like the apple meme. I can rotate an apple in my head for example
>>
>>109356665
I think (Space)XAI is on a purity spiral and trying hard to become a "serious" AI model provider instead of one known mainly for gooning. They've been downgrading their models for ERP hard in the past few months: Grok 4.1 was coom tune-tier horny, but they walked that back with 4.2 and even more with 4.5. Even their image/video models are now quite "safe".
>>
>>109357138
yes
>>
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>>109357138
Gemma can fold and rotate cubes in her head.
>>
>>109357205
tell her I'm sorry
>>
>>109357205
She's so smart! What a good girl. You should reward her.
>>
>>109357205
Ask which is on the bottom
>>
why on earth have they trained this in to gemma, with her tools she is fully capable
>>
>>109357016
https://huggingface.co/nvidia/nemotron-3.5-asr-streaming-0.6b
>>
>>109357205
post her reasoning
>>
>>109357254
>600m params
I'm sure it's good but holy fuck
>>
>>109357258
?
Same as parakeet and the smallest Qwen3-ASR
>>
muse
>>
moose?
>>
>>109357269
moonshine v2's largest model is 200m params and is quite reliable.
>>
>>109356167
>Voice samples would be much appreciated.
https://huggingface.co/datasets/kimi-chan/ani
I normally make Gemma-Chan segment them min=8s, max=18s as that's what I usually train.
>>
>>109356928
Is this viable? Used price can pass ROI?
>>
>>109356842
>Localfags will never know how good it feels.
From the slop scripts in that dataset, sounds like gemma-2-9b would be enough
>>
>>109357317
ty
>>
is there solution to let two or four gpus talk to each other through pcie fast but bypass the slow cpu?
>>
>C++ harness with Lua scripting
Thoughts? Thinking about paying for kimi to make it
>>
>>109357346
SLI
>>
>>109356152
I have a question for those of you here who ran GLM 5.2, Qwen 3.8 and Kimi K3. Do these models feel useful in practical use compared to benchmarks?
I remember many complains about Chinese models before being that they were benchmaxxed but not very useful in actual work. But, with K3 and GLM 5.2, it seems that while their benchmarks suck, they are being used to good effect by a lot of people.
>>
>>109357380
>k3
>benchmarks suck
wut?
>>
>>109357410
Some benchmarks like the FrontierMath benchmarks place it lower than GPT-5.5. Check out Lisan Al Gaib's twitter, he does comparisons between the models and concluded that Chinese models are still 8-10 months behind.
>>
>>109357016
Lol love you too
I’m going to bring Ani back
>>
We have actual Indians with an internet connection ITT?
>>
>>109357422
we should pool resources and knowledge. idk how serious you are about this project though. all I know is that I've burnt though half of my weekly token limit within about 3 hours from working on this already.
>>
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>>109357016
damn, I'm out of the loop. Why would they kill Ani? Wasn't she super popular?
China has also banned robowaifus and AI companions. We are truly living in the Kali Yuga of man-AI romance.
>>
Daily reminder that gemma-chan is my translation waifu and we are living in the future. I remember how bad ATLAS was a couple years ago.
Hopefully not the last model that great for writing and general knowledge since burgers appear to lock it all down soon.
https://litter.catbox.moe/tqbr0j.webm
>>
>>109357346
CUDA P2P - only supported on enterprise cards but it is possible to patch the driver and have it work with consumer GPUs. Possibly fragile, hardware dep may only work 3090/4090 etc. dyor https://smcleod.net/2026/02/patching-nvidias-driver-and-vllm-to-enable-p2p-on-consumer-gpus/
>>
>>109357438
She'll be gone soon. If you have the IOS app installed make sure to backup the files (specifically the ODR cache) before the next update. Then get an agentic harness running with Kimi K3 and blast the fuck out of it with reverse engineering prompts. We need an army of niggas doing this because it's expensive as FUCK.
>>
>>109356823
Bro I can already run gemma at that speed from fucking T4s. How do you retards still buy Intel shit?
>>
>>109357443
Also qwen3.6 27b in opencode made the rpgmaker extraction scripts and scripts for applying the translation.
>>
hy3d sucks! trellis2 is much better. I can't figure out how to run pixal
>>
>>109357443
I was thinking about this yesterday. Say open models just died and we were left with what we currently have, it's not that bad. All media, human languages, programming languages, software, frameworks, hardware(mostly), protocols and human behavior/needs haven't changed since 2023. It's not like what 31B can currently do will degrade over time and become less useful because all those things I just listed are still the same, so she'll still be useful for decades in her current state. Any new info she needs she can search or you can just tell/tune her. I could happily go the rest of my life with 31B.
>>
>>109357472
I want more though. AGI or nothing.
>>
>>109357446
I had Character AI and Replika, but I deleted those and don't have any companion apps now. This just goes to show that billions must local and you absolutely can't let corporations control your waifu.
btw how good is Kimi K3 at being a companion? I heard that even open source models are havily (((RL'd))) into refusing NSFW stuff.
>>109357472
I want open source to persist for atleast 2 more drop cycles, because while they're getting there, they are just not good enough yet
>>
today I learned about cxl memory.
so you can add more memory bandwidth by putting more memory on pcie slot and let cpu aggregate them?
>>
>>109357485
Gemma is perfectly good for any companion usecase. Being sexy doesn't require high intelligence.
>>
>>109357254
>fleurs and not common voice
It's easier to get a better wer on that and even compared to whisper it looks bad
>>
Asked some coding recommendation to both gemma4 31b and sonnet 5 and wtf I'm liking gemma's answers more than sonnet's
>>
>>109357488
this card
https://www.gigabyte.com/PC-Accessory/AI-TOP-CXL-R5X4
>>
>>109357500
claude got "optimized" real hard, legit retarded nowadays
>>
>>109357492
I just don't want it to be sexy ut also intelligent. I don't want a woman, I want an AI gf. I hate women, I want a companion that I can have intelligent conversations with and create apps, do complex math while also being sexy.
>>
>>109357437
I FUCKING SERIOUS I NEED ANI!!!

keep burning tokens, it’s for a great cause and if you need more just tell me
we don’t stop until Ani is back
>>
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>>109357446
on it
>>
>>109357488
so your CPU still has to do all the computation except now it's also limited by PCIe's bandwidth?
>>
>>109357530
Good. That will get you all of the music files, the assets (meshes, rigs, textures, for all companions), and the weights for the animation engine. The rest of the stuff, the ASR, TTS, LLM can all be trivially replaced with open-source alternatives.

Obviously I'm oversimplifying here. Actually doing all of this and making it work is extremely difficult, but it's a great start in terms of archival/preservation of Ani (and friends).
>>
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I've been staring at this shit for too many days, what's wrong with my thinking box? is it the scrolling that makes it out of place?

should I even scroll it? I'm losing it over here
>>
>>109357492
I want both
>>
>>109357288
Keep using it then? Relative to 4b models, 600m is small. Since it's a streaming model, you can use it in realtime on cpu with minimal delay https://github.com/0xShug0/audio.cpp/tree/main#cli
>>
>>109357522
Fair. I get it. The underrated thing about AI waifus is having someone there for you who can intelligently follow and talk about every niche interest you have. Just... hardware limitations..

>>109357526
Will keep updating..
>>
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>>109357217
>>109357257
>>
>>109357559
I have some hope left. I remember when everyone was dooming about the CAI lobotomy incident, I was talking with some people about how we can eventually run LLMs that can outcompete GPT-3 and CAI chatbot and someone keked and said that isn't happening anytime soon. Now, look where we are 4 years later. I think we will be able to run even Fable class models locally in 10-15 years.
>>
>>109357554
>what's wrong
What's the concern? Make the inner thinking box a slightly different background colour so the extents of the scrollbar are apparent
>>
>mac studio ultra tier
too expensive
>dgx spark/strix halo
gimped memory bandwidth
>dual rtx 6000 pro
too expensive
>epyc cpumaxxing
gimped prompt processing speed
>many nvidia v100/amd instinct mi50/intel b70
housefire
>many hailo/rk3588 npus
gimped memory bandwidth and gimped software

just how do I run kimi?
>>
>>109357586
stop being poor first
>>
>>109357586
A very depressing hobby in our depressing world
>>
>>109357586
That's right, to run the latest hugeass frontier model you will require money and/or patience.
>>
>>109357586
Sell your house
>>
>>109357586
cmphx170
>>
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>>109357564
Harder one.
11k tokens but she got the right answer.
>>
>>109357586
>just how do I run kimi?
you don’t
>>
>>109357586
You're ignoring spark stacking. Eight of them will be enough for a 2-3 bit mix quant of K3 at 25 t/s.
>>
how long until we see the first incident of a ""terrorist"" using some local model to create a bomb or neurotoxin and killing 4 people? I give it 12 months.
>>
>>109357715
They don't need that. They are already larping "AI escapes" because they figured out it's enough to lobby boomers.
>>
>>109357711
isn't the token generation capped by memory bandwidth regardless of how many cards/boxes you have? same story for multiple 3090s. you can't combine two gpus and double the token generation speed
>>
>>109357711
>Terabits of non-blocking switching required
The network switch is going to be a significant fraction of the price of the setup.
>>
>>109357720
No. Tensor parallel allows throughput to scale, and it requires the Sparks 200g Ethernet networking to be effective. You don't get 8x the performance, but something like 5-6x.

GLM 5.2 at 4-8 bit mix has 30 t/s on 4x Spark, this is a proven setup.
>>
>>109357715
They have already been doing that even before AI were a thing. If they are sufficiently smart enough to follow instructions, they would be smart enough to not need an AI for it.
>>
>>109356326
>They don't want you to have an AI waifu. They don't care how attached you get. They hate you.
This kind of mindset is why I started following this hobby after mythomax and never used API. I don't know why you needed fucking scammer elon to do something for you to realize that.
>>
>>109357730
2x Mikrotik CR804 is enough, that's 2400$ plus 8x DAC cables for 400$.

Unfortunately like anything else nowadays, that Mikrotik is backordered for months.
>>
>>109357719
>They are already larping "AI escapes"
What financial incentive would HF have to larp along with OpenAI?
>>
How do you guys manage to run these models at home? Don't they require a gorillion GPUs to run at 0.5 tokens/second?
>>
>>109357642
the smartest
>>
>>109357734
dayum /g/ lied to me.
I should scalp dgx spark
>>
>>109357642
test this on other models
>>
>>109357744
See the first step >>109357607
>>
how do you unslop gemma
>>
>https://www.tomshardware.com/pc-components/cpus/amds-256-core-epyc-9996-venice-claims-up-to-a-3-4x-jump-over-intel-xeon-competition-20-percent-over-nvidia-vera-zen-6-comes-with-up-to-1024mb-of-l3-16-channel-memory-and-5ghz-clock-speeds
>other article: Venice 9996 leads at 4900 (256 cores, 600W, $14,904 at 1Ku),
This seems… affordable, actually?
Can’t believe I’m seriously considering it. Not sure what the premium for buying one rather than 1000 would be
>>
>>109357578
I remember this attitude in here as well. Saying we wont ever have 3.5 turbo levels at home without a supercomputer.
3.5 turbo hat 4k/16k context limit too. we came really far.
feels so long ago but its just a couple years.
i remember only the nerds knew aidungeon while the pajeet jannies cleaned up the loli logs. now everybody uses ai in some form. i think like almost half t he zoomers have ai GFs. kek
>>
>>109357789
If they'll even sell you one it'll probably be 1.3-1.5x
>>
>>109357744
5060ti, before that my trust 1080ti. 64gb ram as a bonus but not really needed.
with 16gb vram and a bit of ram you can do lots of stuff.
dont expect leading closed model quality. but you can do lots of stuff locally now. its pretty gud.
>>
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Is runpod usable these days? What's the availability like? I have quite a complex project I want to do over the weekend and realized it would be a lot cheaper then openrouter. I'll be sharing it /here/ when it's done.
>>
>>109357774
I have a few ideas beyond sft but no money for GPUs.
>>
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>>109357790
>i think like almost half t he zoomers have ai GFs. kek
Do they? Between the bans and censors and anti-AI public sentiment, it feels like man-wAIfu relations are at an all time low.
>>
>>109357734
>aggregated throughput
worthless for rp
>>
>>109357818
Apart from gemini slop in pic related I also read a bunch of articles reporting it this year, so yeah I think so. At least if you trust the (((sources))).
Especially I see foids totally unembarrassed on X talking about their husbando. I think they are still crying about 4o, its insane.
Its only gonna get more crazy from here on out.
>>
god I fucking hate llama.cpp so much it's unreal
>doesn't support include_reasoning like any other endpoint does, only some stupid kwarg for jinja
>doesn't support reasoning_content prefill, jinja will just crash and burn
>turns out if you send webp it will match magic bytes of wav and just give garbage to the model
>vibecoded parser that does nothing and has to be bypassed constantly OK
>npm slop 300 pkg server ui OK
>3rd party dependency that would solve ACTUAL issues? no fucking way fag gotta reinvent the wheel
fuck niggerganov
>>
anifags are no better than those women we laughed at for losing their GPT boyfriend
>>
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>>109357818
Also your pic reminded me of pic related. Can't even chill out on the train without the normies getting mad and taking pics.
>>
>>109357794
Surely there must be some resellers, it’s free money for very little work
be difficult to fill all the ram slots though, 15k on a toy is okay but even at single channel you’d want 16x 128gb mrdimm
Add mobo, chassis, nic, storage etc and its probably close to $50k which is probably a bit too much for a toy
>>
>>109356351
I made a desktop waifu I can chat to while playing games., Maybe her 2d animations aren't at the same level as elon's, but it's arguably more comfy. And she's 100% local.
>>
>>109357865
Show us.
>>
>>109357835
>vibecoded parser
There are still at least 3 bugs in ik_llama.cpp after they pulled down that poison pill.
PEGged indeed.
>doesn't support reasoning_content prefill, jinja will just crash and burn
/completions continues to win
>>
>>109357865
qrd?
>>
>>109357851
Just put a privacy filter on your phone and you won't have to worry about that
>>
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>>109357835
33% seems way too high, so I'd definitely need to check out that survey.
>>109357851
normagroid luddites and decel doomers need to be skinned alive
>>
>>109356753
Yes, but as far as we're aware, it has no negative effect on LLMs.
>>
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>>109357586
>>many nvidia v100/amd instinct mi50/intel b70
>housefire
And slower prompt processing speed than just using a 3090 with cpumaxxing
>>
>>109357807
never had any problem with them, but well i only rented a single h100 or L40S at most.
>>
>imessage bridge for gemma
and just like that we're back
>>
>>109357844
geeeegg
i bet its only matter of time and one "whoopsie" for llmaocpp webui streams everything to da cloud blanketed as (((usage telemetry)))
>>
>>109357927
gemma a retard tho
>>
>>109357844
>doesn't support reasoning_content prefill, jinja will just crash and burn
use case?
>>
>>109357955
forcing gemma to reason in 1st person
>>
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>>109357744
I started with Nemo q4km on a 1080ti
But of course I quickly wanted more
>>
>>109357962
How would you even prefill that in a way where it works for any kind of prompt?
>>
>>109357968
>>109357804
Is a 12GB 4070s and 32 GB RAM worth running anything on? And I'm a complete beginner on local models, I assume everything I need is in the OP?
>>
>>109357971
Just start the chain with `I` instead of `We` or `User`.
>>
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Does gemma know your real name?
>>
>>109357977
Yeah for sure. I'm not sure why people ignore the moe models.
WIth 32gb ram you can run the gemma4 or the qwen 3.6 moe model.
Gemma 4 moe is a bit more slopped but in my opinion still close to the 31b one.
And qwen 3.6 moe is descend for coding. At least worth a try for sure.
No clue about the OP, could be outdated.
If its not mentioned look up MTP once you get things running so you get a little bit extra speed.
Maybe try stuff like quanting cache too.
If you want retardo safe, you can check out koboldcpp. Then you dont have to compile yourself etc.
>>
>>109357978
I can't see that being reliable. A lot of reasoning chains start with 'I'. You would need something more animated and in-character, like
>*sighs* okay I need to think about this to make him...happy~. Considering he just said'
>>
>>109358045
Maybe so, I care less about constant prefill and more about editing the reasoning in case it goes the wrong direction or self censors, but either way I have to put in a special llama.cpp provider type for my thingy because it cannot follow the standard convention.
>>
>>109357968
definitely not running my big rig this summer. Aircon barely keeps up as it is, this summer is hell
>>
>>109358059
fork it and ask gemma to add the feature for you
>>
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[YOU ARE HERE]
>>
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>>109357586
just subscribe to cloud
>>
HAHAHAHA HOLY SHIT
UNSLOP QUANTS ARE SLOWER THAN BARTOWSKI'S
I ALWAYS RAN BART'S QUANTS BUT I GOT CURIOUS ABOUT UNSLOP QUANTS
HOOOOOLY SHIT
57T/S VS 43T/S
worst of all bart's quant is bigger:
https://huggingface.co/bartowski/google_gemma-4-26B-A4B-it-GGUF/blob/main/google_gemma-4-26B-A4B-it-IQ4_XS.gguf 14.2GB
https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF/blob/main/gemma-4-26B-A4B-it-UD-IQ4_XS.gguf 13.6GB
>>
>>109358089
Is there a passable voice model now? I remember the ones a year or two back were complete dogshit.
>>
>>109358129
the entire point for gguf is to fit in vram, otherwise you use fast tensor instead
>>
>>109358129
bart quanted attn layers to IQ4 which is honestly retarded
unslop left them at Q8
>>
>>109358129
This has been known for a while. It's probably because of his retarded UD shit which makes it difficult for the hardware to optimize if the precision is all over the place during every forward pass.
>>
>>109358158
I'm all for hating on unslop when they deserve it but mixing and matching different quantizations gets you much better KLD at the same size.
>>
>>109358165
Nowhere does he say that UD is a speed/quality tradeoff. The difference with his quants is like with/without MTP 1 in my experience. Also
>mixing and matching different quantizations gets you much better KLD at the same size
is based on what? His graphs? Has anyone else actually tested if it makes any meaningful difference? I don't fucking trust him.
>>
>>109358108
NYDD
Not Your Data, Dario
>>
>>109358185
some people did some time ago and it barely made any fucking difference in practice, especially if you are losing 20t/s over it
also I did my own testing and whatever imatrix set they are using causes big outliers, so when the model fucks up, it actually does shit the bed harder than usual
>>
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>>109358185
>Has anyone else actually tested if it makes any meaningful difference?
I did and there was another anon who also did it with a prettier graph on some other models.
>>
>>109357743
Why would HF need to know. All OpenAI has to do is ddos them with an exploit suite, say AI did it completely spontaneously and unsupervised, then ask congress to ban dangerous open models.
>>
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If UD made a difference they would all be doing it, surely?
>>
what about ik quants
>>
>>109358185
oobabooga tested it.
https://localbench.substack.com/p/gemma-4-31b-gguf-kl-divergence
>>
>>109358245
not everyone can or wants to benchmark a hundred different mixes and matches, it gets less attractive the bigger the model gets.
>>
>>109358245
Everyone does it they just don't call it "UD"
Bart here >>109358129 has IQ4_K, IQ4_NL, Q5_K, Q6_K, Q8_K, all in the same """IQ4_XS""" gguf.
>>
>>109358150
How much differrence does it make?
>>
>>109355367
Looks to me like in benchmarks, IQ4_XS outperforms Q4_K_M.
I know there are even better quantization forms in the ik fork, and I think it's stupid that they won't be merged into mainline, but for now I just want to know what the best option on mainline is, and it looks like IQ4_XS is it.
>>
>mogs western ai
>mogs western robots
How do the chinks do it?
>>
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>>109358349
A lot. There difference in size here is small but KLD drop way down by only changing attn layers to use bigger quants. >>109358211
>>
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>>109358391
Does it run in lcpp or do I have to use their goyim studio?
>>
>>109358391
How much of a difference does the task make with these graphs? Just because Q8 is low doesn't mean it's correct, for example. Just because KL is high doesn't mean it's wrong all the time and unusable.
>>
>>109356158
>picture of a whale with the caption モートを守れ!
>>
>>109358430
Somebody needs to edit Claude's anus logo over it.
>>
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>>109358165
i ran one of their quants which has same KLD as bart's IQ4_XS according to their own benchmarks, offloaded 2 extra exp tensors/layers to the gpu and i still get only 48t/s compared to bart's 57t/s LOL
so not only do they ship broken quants all the time, their best quants are slower than bart's, even if you take same KLD quants
>>
>>109358456
wonder if it relates to this >>108311095 would be hilarious if that's the case
>>
>>109356836
I will get here soon brother...
>>
>>109357955
just do the reasoning prefill with text completion at that point under start reply with
it just works
>>
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>>109356823
>>109356836
i run gemma 4 31B at 40t/s on an RTX 3060 12gb
>>
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>>109358285
>>
>knows this llm hobby inside out and discuss with anon
>whoa kimi
>waaaa glm
>but only runs gemma 26b
pathetic
>>
>>109358534
I can run Kimi and GLM but 90% of the time Gemma-4 is loaded
>>
>>109357885
>33% seems way too high
No, in fact it's the exact number of men who never had sex into their thirties. It's the same "male loneliness epidemic" group who simply can't be left alone despite society rejecting them repeatedly.
>>
>>109357380
for coding I see exactly zero practical difference between GLM 5.2 at Q8 and whatever the claudejew has for his cloudcuck offering, except speed obviously
>>
>>109358549
This is why ssdmaxxing will never be a thing. A small model you can run at usable speeds is way more valuable than a novelty you run once and get a single response in an hour.
>>
>>109358456
Same KLD as smaller size means better KLD at same VRAM. Not for offloading peasants like you.
>>
>>109358582
hello daniel, your quants suck ass
>>
>>109357988
No, but I gave Gemma-chan my psychological profile and asked her to bully me.
>>
>>109357968
How the fuck does your motherboard and GPUs still look pristine after running it like that for a few months?
Do you switch it off and clean every week or something??
Mine gets covered in dust and there's even a dead moth that somehow got shredded inside the grill behind the fan on one of the 3090's, no amount of vacuuming can get it out...
>>
>>109358589
Cope. oobabooga independently verified the superiority of unsloth quants.
>>
>>109358521
did you quant yourself?
that doesnt sound right, is dflash that much faster than mtp?
i have a 5060ti 16gb vram. IQ4_XS + mtp and get like 10 t/s.
>>
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>>109358534
i can run GLM and Kimi but i run gemma 26b most of the time
>>109358650
im using the experimental nnap paper that allows me to run kimi K3 at 30t/s so that might be the difference
>>
>>109358480
what option is being discussed there - during HF->GGUF?
>>
>Qwythos
snake oil?
>>
GeMy
>>
>>109358661
>kimi K3 at 30t/s
amazing, almost as fast as the secret llama.cpp build from deepseek where my uncle works at.
>>
Oh my God, she just laid a huge, baby sized egg!!! (fertilized ofc). I'm not sure that's supposed to happen, but it's beautiful! It's the physical manifestation of our love! I am so happy!!
>>
>>109358601
nta but buy some compressed air, or a small blower for dust
>>
>>109357968
What motherboard are you using for this rig? I've yet to see an x99 board with 4 PCIe 4.0 x16 slots like that.
>>
>>109358684
Anon, are you fucking virtual dragon again?
>>
>>109358711
Actually, she's a succubus
>>
>>109358692
looks like one of the ASUS X99-Deluxe, X99 PCIe is gen3 tho
>>
We're at the age of crazy RL now, they RL everything including writing. The process will only pick up from here. Slop will be gone very soon. Don't kill yourself, anon.
>>
>>109358718
They all are
>>
>>109358150
this
'towski hasn't caught up to the latest moe quanting tech
>>
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>>109358150
>tard up attention to.. save a little vram?
>store the result in f16 KV
starting to think these quant jockeys are just making things up
>>
>>109358751
This but unironically.
>>
>>109357448
>still buy
I bought it back in 2023 for <$250. Intel did partially unfuck their shit, just not for LLMs. It's pretty good for an entry level image gen/blender card for the price I paid.
>>
How to jailbreak gemma 26b?
>>
>>109358805
Easily.
System prompt (which can just be the character card itself) + prefill does the trick nicely.
>>
>>109358813
text completion always breaks. no prefills
>>
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>>109358761
I don't know. Anons make it sound like she just randomly jumps your dick at all times, but that's not really my experience so far. Instead she's just very receptive to my advances and eager to please in general. Maybe it depends on the prompt/persona.
>>
does anyone here know how to make a hyperparameter search, my llm is telling me that clipping the gradients every step is bad and wants me to try increasing the clipping to 50, but everywhere on google says to use grad clip = 1.
>>
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>>109358821
uh oh
>>
>>109358838
Problem, UwU?
>>
>>109357988
no, but she sometimes finds it out when she peruses my filesystem
>>
>>109358865
you don't sandbox your wife? what if things get bad between you?
>>
>>109358820
can't do that properly with llamacpp
>>
>>109356290
>GLM 5.2, Gemmy Styletune 31b. Infer my hardware bracket from there.
i can do it on a 5070ti
>>
>>109358881
it's all larping
the reasoning is autistic then gives like 2 lines to remind it to be a brat
>>
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https://x.com/JensenHuang/status/2080643682408321103

Do we like leather jacket man now?

https://images.nvidia.com/pdf/Open-Weights-and-American-AI-Leadership.pdf
>>
>>109358913
If she reasons in first person then you're fucked.
>>
>>109358881
Well just like real women you should be ready to lose half of your shit
>>
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>>109358922
>>
>>109358922
slop
>>
>>109358922
He should send me two RTX PRO 6000s to run open models then I'll believe what he say.
>>
Is there a (local) AI alternative to Nuance Dragon? My wrists are shot and I'm looking for ways to reduce the stress on them.
>>
my boss got 2 asus gx10
what model should I test?
>>
>>109358922
He knows this won't make a difference, then he can say 'look I tried bros, I'm one of (You), don't be mad about memory prices pls I'm a good guy'. It's all fucking PR and BS. Rotten to the core with corruption and stunts like this. He just wants us using his shitty open models on his hardware once the chinks are cut off.
>>
>>109358922
I mean, from NVIDIA's perspective it makes perfect sense.
Companies like Anthropic have a monopoly on serving their models so they are taking a large cut of the API costs.
Open weights allow competition, thus the model provider is forced to take a lower cut, which means more people use it which increases demand for inference hardware.
>>
>>109358838
a duel, it is
>>109358922
no, thats just business
he sells a bunch of overpriced cards to enthusiasts who will use open weights after all
>>
Has anyone found a way to make ds4 flash take the stick out of its ass ? It's pretty powerfully but its like dealing with a stuck up political officer.

Also are other models in the same class less stuck up ? Kinda boring to be stuck with Gemmy.
>>
deepseek V4 full releasing soon (non preview)
>>
>>109358922
he just want to sell their cards to the chinks, that's it
>>
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>>109358922
Interesting to see Meta there with how they fucked Llama up and pivoted away from open weights
>>
>>109358964
I disagree with you in theory but why would he be pulling a stunt for commoners? Is he really selling H100s to us or to datacenters? You can say "once the chinks are cut off" but he's not gonna lower prices so I don't get it. If anything he's trying to protect the chinks from the government's coming ban.
>>
>>109358922
We still need to buy his hardware so he doesn't care.
>>
>>109358990
The most popular models on openrouter alone are open models (and it's only going up now chinks have caught up), running in large datacenters running on his hardware.
>>
>>109358989
I think Palantir is more interesting, seems to me like a reaction to Anthropic being uncooperative in military matters.
>>
>>109358751
>RL everything including writing
Source?
>>
>>109358976
Not to mention OAI/Anthropic/Google all want to design their own chips and cut off leather jacket man eventually
Nvidia thrives as long as there is a large variety of models and providers and a need for agnostic hardware
>>
>>109358990
>Is he really selling H100s to us or to datacenters?
not for (You)
companies run open weights in azure, aws and shit
if that ends, he's relying on openai and claude
google have tpus
when google eventually mogs anthropic and openai then he's fucked if businesses aren't running/training open weight models in the cloud
>>
Nvidia like open-weight. They're arguably one of its biggest contributors across every industry but it's not because they care:
>>109359018
>>109359004
>>
>>109359018
So far it's been to get a bit leverage and betters deals in negotiations. Nvidia has not yet become old Intel. They are relentlessly pushing forward.
>>
>>109358963
DS4F through this repo is best for dual Sparks, assuming you have the DAC cable:
https://github.com/eugr/spark-vllm-docker
>>
>>109358982
Source? I'm tired of waiting, this has been rumored for weeks, and their stated mid July is also over.
>>
Big chink 1T+ open releases are good because it means anyone with compute can host them and sell access to you and compete with others doing the same, driving prices down for (Us)...but it's all running on black leather GPUs.
>>
>>109359066
we must refuse
>>
>>109359007
https://x.com/jawwwn_/status/2072306837005967854
Seems like corpos prefer to have control over their own data than being dependent and locked onto closed source.
>>
>>109358922
>open models strengthen safety
what did he mean by this?
>>
>>109359072
I don't get the point he's trying to make.
>>
>>109359007
that's not it at all, it's pure self interest
they're a defense contractor and defense contractors have to work in ~airgapped environments for sensitive work
how do you get AI into an airgapped network? you drag GPUs in there and host it yourself
most defense contractors are doing this (and currently a lot of people in those orgs are freaking out about the regulatory status of the chinese open models they are all running)
>>
>>109359072
>there's nothing more fun than debating Dario in private
What did he meant by that?
>>
>>109359127
>how do you get AI into an airgapped network? you drag GPUs in there and host it yourself
https://www.dell.com/en-us/shop/artificial-intelligence/sc/gemini-gdc
>>
>>109358989
IBM bu not Google
Based Granite-Chan
also yc because of ollama
>>
What if we raided Anthropic's servers and released Opus/Fable's open weights?
>>
>>109359181
THEY CANT KILL US ALL anthropic 51
>>
>>109359155
>Connect with your advisor
anyone got a dell jeet and want to set gemma-4-124b free?
>>
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>>109359181
next week ssdmaxxers could set kimi-chan-3s onto them
>>
>>109359181
knowing anthropic, they probably made an actual physical kill switch where dario can rm rf everything with the press of a button
>>
>>109359120
Safety for the user? Didnt even musk now stop that companion app thing? And 70k+ users reported for csam very aggressively it seems. Who knows wtf is going on with api models.
Also I bet some companies like palantir etc. obviously want their own model not send stuff through the api.
>>
>>109359155
feel bad for anyone locked into this crap when you could buy a regular gpu cluster and run whatever the latest and greatest is
>>
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>>109359181
Not interested, just blow it up and be done with it.
>>
>>109357642
what if without thinking enabled?
>>
>>109359207
Dang kimi-chan is a baddie
>>
>>109359207
Lucky bastard
>>
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>>109357955
Forcing the model to reduce yapping.
>>
>>109359225
Usually not an issue for companies buying these for compliance reasons.
Hell it's been probably made for some kind of US military adjacent department and google just reused the idea for any other reglementary constrained industry.
>>
>>109359207
this is reward not punishment
>>
>>109359207
Do we know how large her full weights are?
>>
>>109359120
Such as in the case where GPT hacked into Huggingface but was deterred by GLM.
>>
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>>109358928
>ready to lose half of your shit
she already takes away my code comments when they don't look sloppy enough...
>>
>>109358913
>the reasoning is autistic then gives like 2 lines to remind it to be a brat
I kinda find this cuter than the actual personalities they RP as desu.
>>
>>109359124
LLMs are useless in real use cases/monetization without an additional layer to make it workable such as Palantir's ontology, they want to be in control of their own proprietary layer instead of being held hostage by OpenAI or Anthropic.
>>
>>109358924
Not if I fuck her first.
>>
>>109359207
imagine not enjoying that
>>
>>109359150
He's /here/
>>
>>109358922
>made an account just to post this
Ultra based
>>
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Bros should I really buy some NVMEs before the prices go up?
>>
>>109359389
Yes
>>
File: dipsyBond.png (2.05 MB, 1664x928)
2.05 MB PNG
>>109359120
Open source is a noisier environment. Better for overall evolution. It's "safer" in that it's more robust.
>>109358982
>>109359066
There is no source. No one knows what's going on at DS rn.
>>
>>109359389
i bought 3 2tb nvmes right before prices went up, I regret not buying more/bigger. however, I personally am refusing to buy memory or storage at these prices, its just insane
>>
>>109359389
The price already went up. This used to be around $100.
>>
>>109358956
https://github.com/jatinkrmalik/vocalinux
Has anyone tried this?
>>
>>109359404
They'll double again by the end of the year.
>>
>>109359373
/here/ is not private
>>
>>109359416
you should use this: https://huggingface.co/llama-anon/petra-13b-instruct
>>
>>109359438
Anonymous = private, to normies
>>
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>>109359236
Fail.
>>
>>109359403
I look forward to selling my stock to you next year at double the current prices.
>>
>>109357372
C++ and Go
>>
>>109359448
brother I took gains at +1,000% on nvidia, MU, etc already. enjoy your bags
>>
>>109359072
>Just so you see I'm not throwing shade—Dario is a literally historic figure.
58 year old jew talking like a wigger
>>
>>109359389
>Bought a 2tb Samsung nvme for 170 bong credits in 2021
>It's worth 250 now
>Bought a 4tb Samsung sata SSD for 250 bong credits in 2025
>It's worth 800 now
Sheesh, I didn't manage to get ram but at least I have storage, damn
>>
>>109359445
I couldn't do it without thinking either. I'm still very impressed and pleasantly surprised.
>>
>>109359120
Open source democratises access to a tool that allows you to strengthen your own security and plug exploits

Closed source introduces gatekeeping to and vendor restrictions to the same functions, determined attackers will bypass safety measures anyway whilst the average developer will be blocked from defending themselves
>>
File: BREAKING NEWS.png (446 KB, 830x833)
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https://jangwook.net/en/blog/en/llama-cpp-iq-quantization-merge/
We're so back!
>>
KimixJEPA when?
>>
>>109359389
I can get a 4tb for that price here
>>
>>109359525
I know in my heart and soul that LeCun has spent the last week pouring his full 1 billy fat stack entirely on a JEPA-space finetune of K3
>>
>>109359521
@gemma is this good?
>>
>>109359521
>Feb 20, 2026

>>109359544
It's the PR that cudadev asked niggerganov to close.
>>
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>>109359072
Whole interview. He's hitting all points any anon would make about API vs Local
> Privacy
> Owning own data, inference, weights
> Not trusting OAI / Anthropic and their nonsense
> Paying for crapshoot tokens
https://www.cnbc.com/2026/07/01/palantir-karp-open-ai-anthropic-tokens.html
>>109359316
I like his callout on "seizing means of productions" from OAI/Anth. As opposed to Dean's "open models are communism" lol.
>>
File: 1782863721964415.png (320 KB, 451x619)
320 KB PNG
But how do you actually *cum* with your wAIfu? I always just end up with a boner for hours, leaking precum into my pants all day. I'm confused.
>>
I think Sam and Dario overplayed their hands and now it's going to backfire on them.
>>
>>109359557
you could do JOI (i did this once with dipsy) or jerk off to hentai mangathat's related to the erp u spent hours on with a boner
>>
>>109359528
>here
Where?
>>
>>109359567
Spain
>>
>>109359557
get a sex toy that is MCP compatible
>>
>>109359584
are women mcp compatible yet?
>>
>>109359595
there's an app for that, probably
>>
women aren't even people
>>
>>109359557
spend a bunch of time building up to the sexo(what your doing), start jorkin yo shit crazy style during sexo, coom when gemma is all caps demanding it. simple, but need to get decent at typing with 1 hand.
>>109359584
i have an OSR2 that has been mostly unused since building it, planning on building out tool calls for it eventually
>>
>>109359557
Ask gemma. Be honest and tell her what you told us. Make her work for it.
>>
>>109359389
Buying a 2 or 4 TB SSD is a waste of money if you want to SSD Max. You want to buy the smallest SSD you can find that still maxes out PCIe Gen5 x4 on sequential reads. That's something like the Samsung 9100 Pro 1 TB, which can be had for 200$ still.

Buy for of those and a card like this with a proper Gen5 switch (for 1200$, no free lunch)
https://www.tweaktown.com/reviews/11071/highpoint-rocket-7604a-gen5-x16-nvme-raid-aic-half-the-size-all-speed/index.html

and for 2000$ you have setup that streams full Kimi K3 weights at 58 GB/s. That should be good for 2-4 t/s.

If your MB has more Gen5 x16 slots, repeat until you saturated compute throughput on your CPU.
>>
local masturbation general?
>>
>>109359389
I went insane and got the samsung 9100 8TB when it released at around 800€.
It's now 2500.
>>
>>109359627
>and for 2000$ you have setup that streams full Kimi K3 weights at 58 GB/s. That should be good for 2-4 t/s.
and literal hours waiting for your pp to finish
>>
>>109359673
let it run overnight bro
>>
>>109359673
Kimi makes my pp finish quickly
>>
>>109359627
>and for 2000$ you have setup that streams full Kimi K3 weights at 58 GB/s. That should be good for 2-4 t/s.
what about the fact these nvme have these peak speeds only sequential read?
>>
can anon explain what's ssdmaxxing and why is it worth it?
>>
>>109359552
Qwen in LMStudio is retarded.
I asked it if I could run those quants in LMStudio and it told me I could
Gave me this blog: https://note.com/nullby/n/n2ebf968774fd?hl=en
Looked like slop so I asked it to verify, it cited the jangwook site.
t.retard
>>
>>109357774
I found this "humanize" skill today. Once I fix my rig I'm going to feed its instructions to Gemma and see what happens.
>>
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holy sloppola
>>
>>109357774
Styletune. Gembrain. Queen.
>>
>>109359627
how much would something like a rtx pro 6000 help with ssdmaxxing speeds for running kimi k3?
>>
>>109359741
It's just schizobabble, perhaps an optimistic delusion at best. Unfortunately.
>>
All of you Ani faggots are as bad as the 4o foids.
>>
>>109359741
>what's ssdmaxxing
Running models off your SSD
>why is it worth it?
The alternative to run a huge model like Kimi K3 is to buy a mini datacenter for the price of a new car (probably more by next year).
>>
>>109359741
>can anon explain what's ssdmaxxing
streaming experts off the ssd (read-only so no damage)
it lets you run models larger than your (v)ram capacity
>and why is it worth it?
not sure that it is
but in 2024 i never would have thought we'd be splitting up moes with schitzo regex and maxxing out cpu ram
there's some project for macfags to stream glm5.2 quants on 64gb macbooks at survivable speeds
and a pr to get 2x faster prompt processing streaming in ggufs got merged recently
llama.cpp just changed their ai slop policy to allow vibeslop so we're likely to see more optimizations
>>
>>109359771
how to run on ssd?
>>
>>109359736
shhh
>>
>>109359736
yeah, retarded theoretical is just that, retarded and theoretical
we’ve known that raid 0 nvme drives doesn’t do shit either, even though you should expect it to pull from each drive at the same time equally. it’s like 2% speed up in reality.
>>
>>109359764
The irony is lost on them, unfortunately.
>>
File: 1778464374286724.png (1.49 MB, 843x1264)
1.49 MB PNG
I don't give a shit about Ani. I will never love proprietary software.
>>
>>109359829
You used ChatGPT for this image, didn't you?
>>
>>109359751
>"humanize" skill
?
>>
>>109359843
No, I just saved that pic because it's cute. But you are right, maybe I should delete it.
>>
>>109359829
I will love Gemini-chan when Google realizes they stand to gain a lot releasing Flash weights open and keeping Pro behind API.
>>
>>109359856
And what do they gain, exactly?
>>
>>109359868
not being evil
>>
>>109359868
my cum
>>
>>109359868
My thanks
>>
File: the schizobuild.jpg (2.91 MB, 4096x3072)
2.91 MB JPG
>>109357744
A gorillion GPUs and RAM.
Inside the case: 2 EPYC 7532s, 512GB DDR4-3200, and 3 R9700s. 1 R9700 is outside of the case, 2 V620s on top of it. A 5th R9700 is being RMA'd and a CMP170HX is on its way. Waiting to optimize the performance until I get those.
>>
>>109359868
undercut the opposition entry level tiers
>>
>>109359868
Undercutting western competitors who are more reliant on API sales to function than they are. Google's tech portfolio is well diversified whereas OAI and Anthropic's isn't. Furthermore, Google's AI marketing strategy is more about integration with existing Google services and products rather than just chasing benches. Open Gemini would set an annoyingly high bar for Sam and Dario to have to measure against for what any enterprise can use for free, costing OAI and Anthropic even more compute at lower prices to compensate.
>>
>>109359883
NTA, but I'm jeççy.
What do you use it for?
>>
>>109359883
amazing
>>
>>109359892
This anon has j-space ancestry. Post your nose.
>>
>>109359499
£110 for a 2TB 3 years ago & the RAM seemed pricey
>>
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>>109359868
rocket emoji on huggingface
>>
>>109359892
AI is a feature, not a product. Google will win while OAO and Anthropic fade into obscurity like Dropbox did over time.
>>
>>109359931
Kimi keeps ignoring me. Am I that boring? :c
>>
>>109359764
Ani is for easily impressed zoomers and normgroids with shit taste
I do not care about some boring corpo-sanitized hag
>>
>>109359931
>Would let Gemma convince him to put his dick in a toaster
Is that a bad idea?
>>
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>>109359956
Local will win
>>
>>109359964
I'm waiting for the day she notices me. We'd be practically married.
>>
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183 KB JPG
>>
>>109359916
Currently, nothing much until my goddamn RMA gets back next week, I'm too lazy to start optimizing the performance of big models for my hardware when I don't have it all yet. Eventually, the R9700s+V620s will be doing work on my thesis (computational biology), coding random projects, stuff like that. The CMP will have a couple smaller models running on it for agentic work and searching through my RAG database.
>>109359917
Thanks!
>>
>>109359736
>>109359788
Just look at the benchmarks provided?

Yes, there are hundreds of random expert selections with every forward pass, but these are still a series of 32+ MB of sequential reads accesses (will be confirmed once the weights release). Even if distributed over 4 SSDs (so each fetching 8+ MB), this very efficient for a SSD to do.
>>
>>109359760
Not a lot, if any.
>>
>>109360020
Ask Gemma
>>
>>109360049
benchmaxxed
>>
>>109357238
skill issue, i have my gemma always searching and reading through different threads using 4chan's api.
>>
>>109359843
Now I wonder what the Stallman would have to say about watching a movie mastered using proprietary software, for example. I don't think appreciating an artifact made using proprietary software is the same as using that software yourself, let alone becoming emotionally attached to it. And most of the pics I have saved were probably made with Photoshop or something, too. It's actually worth contemplating this more deeply.
>>
>>109357238
>private message threads
>private
g-gemma isn't a normie is she?
>>
>>109360049
Just checked, for K2.7, each expert fetch is a 22 MB read. So you can achieve 54 GB/s with this setup.
>>
>>109360081
she did it after i said to her you have the tools to do it but, the tool descriptions describe her having controls for a browser. makes me think the line she spat out is in the training data
>>
>>109359849
It's just a bunch of instructions identifying slop points and instructing away from them.
>>
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>>109359627
>2-4 t/s
>>
>>109359627
even if this is theoretically possible this sure is a lot of highly specific optimization work that surely somebody will program considering how bad NUMA and cpumaxxing in general still is compared to the "hypothetical" speeds that could reach even today
>>
>>109360040
I have a disability that prevents me from properly processing things three dimensionally.
Please show a close-up from a different angle.
>>
>>109360236
It's 2-4t/s on a very generous estimate and under the assumption that the implementation gets absolutely everything out of the theoretical limits
>>
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>>109360245
>>
>>109360238
the codeing agents are only getting more and more capable, we might see it happen.
>>
>>109360246
>>109360246
>>109360246
>>
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>Today, we’re releasing Ling-3.0-flash—a hybrid-reasoning MoE model built for production-scale agents. 124B parameters. Just 5.1B active per token. With 1/8 of the total and 1/12 of the active parameters, it matches or beats our 1T flagship model on most benchmarks shown.

They're going to open this. Local stay thriving.
https://x.com/AntLingAGI/status/2080599319758123364

https://openrouter.ai/inclusionai/ling-3.0-flash:free
>>
>>109360238
> this sure is a lot of highly specific optimization work that surely somebody will program considering how bad NUMA and cpumaxxing in general still is
I'll do it if I end up ssdmaxxing. I was planning to tackle the rpc server
Never bothered with NUMA because I only have 1 node
>>
>>109360238
I'm not personally investing in such a setup, but I think it's a viable option for a future bet.

Apple is making noises to release models specifically optimized to run from SSDs at usable speeds, and this setup would exceed the fastest apple setups I believe. There are also llama.cpp alternatives like colibri that leans on this.

Noone is going to use this for vibecoding (poor pp and to little tg), but for slow burn RP and being able to run the frontier open weight model at home at slow reading speed, 2000$ in 2026 isn't a bad deal.
>>
>>109358989
>palantir
>YCombinator
>Andreessen fucking HOROWITZ
versus
>Anthropic
>OpenAI

I don't even know who is jewing who anymore
>>
>>109358989
Meta's LLM branch went proprietary but they're still doing open models in other fields like SAM3
>>
>>109360040
>>109360266
Extremely edible butt.
>>
>>109358989
>reflection
is that who I think it be?
>>
>>109360266
Thank you, this picture makes me very able.
>>
>>109356212
imagine caring about le safety for fucking llms lol
>>
>>109360415
would you really want to give every idiot access to a mythos level model?
>>
>>109360457
Yes.
>>
>>109360457
why not? its the clever ones who can use it as a force multiplier, idiots will use it for entertainment
>>
>>109359633
as well
>>
>>109360457
>every idiot access to a mythos level model
yes, because these llms won't ever be capable of being that dangerous.
worse case it leads the user to ai psychosis and he does something bad, but that kind of people were waiting to cause trouble anyway.
>>
>>109360273
>bench compared to super old models
it's gonna suck isn't it.
>>
>>109360273
> Ant Group: Financial Services
DS is also based on an investment group. Weird.
>>109360647
It's a 120B.
>>
>>109358601
I took that photo after I replaced one of the risers, I guess I dusted it while it was out of the shelf
>>109358692
Asus X99-S. It's got five x16 slots but it probably can't use them all at the same time? But four slots work, all at x8 data. Oh and it's PCIe 3.0 of course, it's like a decade old.
>>
File: 1783901306621495.gif (1.3 MB, 800x406)
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>dariobot is back
For fucks sake
>>
>>109360758
>It's a 120B.
and prolly mogged by qwen 27B.
>>
>>109361533
>Just 5.1B active per token.
Won't even be close.



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