Technology

59287 readers

4458 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

196

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

submitted 9 months ago by hexual@lemmy.world to c/technology@lemmy.world

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

[–] simple@lemm.ee 45 points 9 months ago (35 children)

I'm afraid to even ask for the minimum specs on this thing, open source models have gotten so big lately

[–] TheChurn@kbin.social 49 points 9 months ago (22 children)

Every billion parameters needs about 2 GB of VRAM - if using bfloat16 representation. 16 bits per parameter, 8 bits per byte -> 2 bytes per parameter.

1 billion parameters ~ 2 Billion bytes ~ 2 GB.

From the name, this model has 72 Billion parameters, so ~144 GB of VRAM

[–] rs137@lemmy.world 1 points 9 months ago

Llama 2 70B with 8b quantization takes around 80GB VRAM if I remember correctly. I’ve tested it a while ago.

load more comments (21 replies)

load more comments (33 replies)