LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago

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pax@sh.itjust.works

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Smokeydope@lemmy.world

MonsterBug@sh.itjust.works

What are your LocalLLaMA "hot takes"? (lemdro.id)

submitted 1 month ago by mudkip@lemdro.id to c/localllama@sh.itjust.works

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Or something that goes against the general opinions of the community? Vibes are the only benchmark that counts after all.

I tend to agree with the flow on most things but my thoughts that I'd consider going against the grain:

QwQ was think-slop and was never that good
Qwen3-32B is still SOTA for 32GB and under. I cannot get anything to reliably beat it despite shiny benchmarks
Deepseek is still open-weight SotA. I've really tried Kimi, GLM, and Qwen3's larger variants but asking Deepseek still feels like asking the adult in the room. Caveat is GLM codes better
(proprietary bonus): Grok 4 handles news data better than GPT-5 or Gemini 2.5 and will always win if you ask it about something that happened that day.

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[–] afansfw@lemmynsfw.com 3 points 1 month ago

Sometimes speaking to an older model feels way more human and natural, newer ones seems to be trained too much on "helpful assistant" stuff and especially on the previous AI dialogues, to the point where some of them from time to time claim to be chatgpt because that's what they have in their training data.

Datasets should be cleared and everything newer than the release of chatgpt should be carefully vetted to make sure the models are not just regurgitating generated output to the point where they all blend into the same style of speech.

Also, it seems like models should be rewarded more for saying "I'm not sure" or "I don't know" for things that are not in their training data and context, because every one of them still has a huge tendency to be confidently wrong.