40

But the benchmarks don't actually show it beating every Chinese model? Oh well, still cool

https://huggingface.co/collections/mistralai/mistral-large-4

https://huggingface.co/blog/mistral-large4

you are viewing a single comment's thread
view the rest of the comments
[-] TheFrirish@tarte.nuage-libre.fr 2 points 2 days ago* (last edited 2 days ago)

I mean these models have no use.

No one can afford a machine to run these models anything that cannot run on less than 70GB of RAM (and I am being more than extremely generous here taking into account unified memory computers) has no use for us.

1T here 2.8T there is just insultingly useless. AI is already bad and these models just favour big corporations not the individuals ergo useless. In fact I would go as far as saying dangerous because they let only the wealthy access these tools or the plebs have to pay a fee for a monthly access.

this post was submitted on 29 Oct 2026
40 points (91.7% liked)

LocalLLaMA

5571 readers
98 users here now

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 3 years ago
MODERATORS