Technology

37362 readers

275 users here now

Rumors, happenings, and innovations in the technology sphere. If it's technological news or discussion of technology, it probably belongs here.

Subcommunities on Beehaw:

This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago

MODERATORS

[email protected]

Advice - Getting started with LLMs (beehaw.org)

submitted 2 months ago by [email protected] to c/[email protected]

22 comments fedilink hide all child comments

I'm new to the field of large language models (LLMs) and I'm really interested in learning how to train and use my own models for qualitative analysis. However, I'm not sure where to start or what resources would be most helpful for a complete beginner. Could anyone provide some guidance and advice on the best way to get started with LLM training and usage? Specifically, I'd appreciate insights on learning resources or tutorials, tips on preparing datasets, common pitfalls or challenges, and any other general advice or words of wisdom for someone just embarking on this journey.

Thanks!

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 3 points 2 months ago (13 children)

OLlama is so fucking slow. Even with a 16-core overclocked Intel on 64Gb RAM with an Nvidia 3080 10Gb VRAM, using a 22B parameter model, the token generation for a simple haiku takes 20 minutes.

[–] [email protected] 1 points 1 month ago (6 children)

Ok, so using my "older" 2070 Super, I was able to get a response from a 70B parameter model in 9-12 minutes. (Llama 3 in this case.)

I'm fairly certain that you're using your CPU or having another issue. Would you like to try and debug your configuration together?

[–] [email protected] 1 points 1 month ago (5 children)

I think I fucked up my docker setup and will wipe and start over.

[–] [email protected] 1 points 1 month ago (1 children)

Good luck! I'm definitely willing to spend a few minutes offering advice/double checking some configuration settings if things go awry again. Let me know how things go. :-)

[–] [email protected] 2 points 1 month ago (1 children)

My setup is Win 11 Pro ➡️ WSL2 / Debian ➡️ Docker Desktop (for windows)

Should I install the nvidia drivers within Debian even though the host OS already has drivers?

[–] [email protected] 1 points 1 month ago* (last edited 1 month ago) (1 children)

I think there was a special process to get Nvidia working in WSL. Let me check... (I'm running natively on Linux, so my experience doing it with WSL is limited.)

https://docs.nvidia.com/cuda/wsl-user-guide/index.html - I'm sure you've followed this already, but according to this, it looks like you don't want to install the Nvidia drivers, and only want to install the cuda-toolkit metapackage. I'd follow the instructions from that link closely.

You may also run into performance issues within WSL due to the virtual machine overhead.

[–] [email protected] 2 points 1 month ago (1 children)

I did indeed follow that guide already, thank you for the respect; I am an idiot and installed both the nvidia WSL driver on top of the host OS driver _as well as the Cuda driver. So I'll try again with only that guide and see what breaks.

[–] [email protected] 1 points 1 month ago

We all mess up! I hope that helps - let me know if you see improvements!

load more comments (3 replies)

load more comments (9 replies)