Technology

59020 readers

3508 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

[email protected]

196

Smaug-72B-v0.1: The New Open-Source LLM Roaring to the Top of the Leaderboard (huggingface.co)

submitted 8 months ago by [email protected] to c/[email protected]

60 comments fedilink hide all child comments

Abacus.ai:

We recently released Smaug-72B-v0.1 which has taken first place on the Open LLM Leaderboard by HuggingFace. It is the first open-source model to have an average score more than 80.

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

[–] [email protected] 2 points 8 months ago* (last edited 8 months ago) (2 children)

I'm more experienced with graphics than ML, but wouldn't that cause a significant increase in computation time, since those aren't native types for arithmetic? Maybe that's not a big problem?

If you have a link for the paper I'd like to check it out.

[–] [email protected] 14 points 8 months ago

My understanding is that the bottleneck for the GPU is moving data into and out of it, not the processing of the data once it's in there. So if you can get the whole model crammed into VRAM it's still faster even if you have to do some extra work unpacking and repacking it during processing time.

The paper was posted on /r/localLLaMA.

[–] [email protected] 4 points 8 months ago

You can take a look at exllama and llama.cpp source code on github if you want to see how it is implemented.