19

For example, does a 13B parameter model at 2_K quantiation perform worse than a 7B parameter model at 8bit or 16bit?

top 7 comments
sorted by: hot top controversial new old
[-] rufus@discuss.tchncs.de 9 points 1 year ago* (last edited 1 year ago)

https://github.com/ggerganov/llama.cpp#quantization

https://github.com/ggerganov/llama.cpp/pull/1684

Regarding your question: 13B 2_K seems to be on par with 7B 16bit and 8bit. Not much of a difference between all those. (Look at the perplexity values. Lower is better.) The second link has a nice graph.

Most people don't go as low as 2bit though. It's considerably worse than 4bit.

[-] Wander@yiffit.net 5 points 1 year ago

That graph is great. Very easy to understand. Thank you!

[-] noneabove1182@sh.itjust.works 2 points 1 year ago

These are good sources, to add one more, the GPTQ paper talks a lot about perplexity at several quantization and model sizes:

https://arxiv.org/abs/2210.17323

[-] noneabove1182@sh.itjust.works 2 points 1 year ago

Anyone else see 11 comments on the post count but only 2 comments..?

[-] alexthelion335@sh.itjust.works 2 points 1 year ago
[-] rufus@discuss.tchncs.de 5 points 1 year ago

Well, a few of those extra numbers are my fault. I edited my answer a few times. And lemmy reportedly counts every edit as an additional comment. (When user and community are on different instances.) I hope they fix that soon.

[-] noneabove1182@sh.itjust.works 2 points 1 year ago

ahh makes sense, i just made a post and deleted the comment i made on it but it glitched and deleted twice so now my post has -1 comments lmao

load more comments
view more: next ›
this post was submitted on 26 Jul 2023
19 points (100.0% liked)

LocalLLaMA

2214 readers
1 users here now

Community to discuss about LLaMA, the large language model created by Meta AI.

This is intended to be a replacement for r/LocalLLaMA on Reddit.

founded 1 year ago
MODERATORS