47
you are viewing a single comment's thread
view the rest of the comments
[-] panda_abyss@lemmy.ca 4 points 2 days ago

I’m pretty excited about this one, is it supported by llama.cpp main yet?

[-] e0qdk@reddthat.com 4 points 2 days ago

Not on main yet I think (as of ~2:50PM UTC on 2026-08-26) -- there's a link to the PR for it in my other comment though. Unsloth's fork has that integrated (they submitted the PR). I wouldn't be surprised if something lands quickly in main, but this is a new architecture so may take a bit for people to figure out how to get the most out of it -- bunch of discussion about e.g. SSD offloading for the ngrams and stuff like that in the github thread.

[-] SirDimples@programming.dev 2 points 18 hours ago* (last edited 18 hours ago)

llama.cpp support for it got merged a few hours ago 🏆

[-] e0qdk@reddthat.com 2 points 16 hours ago

Nice! Hopefully I can figure out how to actually get it to load tomorrow... (It keeps getting OOM-killed when I try.)

this post was submitted on 26 Aug 2026
47 points (100.0% liked)

LocalLLaMA

5087 readers
83 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