this post was submitted on 29 Jun 2023
12 points (92.9% liked)

LocalLLaMA

3503 readers
203 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 2 years ago
MODERATORS
 

Koboldcpp 1.33 was released, and with it means new docker images :) anything with -gpu works with cublas now!

Released my updates for koboldcpp docker images for v1.33 (CUDA support!):

https://hub.docker.com/u/noneabove1182

there's also a new koboldcpp-gpu-test where i'm trying to reduce the image size, got it down to less than half of the original -gpu (1.58GB vs 3.87GB), everything seems to be working but if anyone else is willing to help validate that would be much appreciated

make sure if you're upgrading you clear out your docker volume, it does weird things during upgrades...

top 1 comments
sorted by: hot top controversial new old
[–] SkySyrup@sh.itjust.works 2 points 2 years ago

I'm happy about the context improvements; I think it really helps!