this post was submitted on 30 Nov 2023
1 points (100.0% liked)

LocalLLaMA

3 readers
1 users here now

Community to discuss about Llama, the family of large language models created by Meta AI.

founded 1 year ago
MODERATORS
communick@poweruser.forum
1
Fitting 70B models in a 4gb GPU, The whole model, no quants or distil or anything! (alien.top)
submitted 11 months ago by vatsadev@alien.top to c/localllama@poweruser.forum
16 comments fedilink hide all child comments
 

Found out about air_llm, https://github.com/lyogavin/Anima/tree/main/air_llm, where it loads one layer at a time, allow each layer to be 1.6GB for a 70b with 80 layers. theres about 30mb for kv cache, and i'm not sure where the rest goes.

works with HF out of the box too apparently. The weaknesses appear to be ctxlen, and its gonna be slow, but anyway, anyone want to try goliath 120B unquant?

you are viewing a single comment's thread
view the rest of the comments
[–] TheTerrasque@alien.top 1 points 11 months ago

70b? Q4, llama.cpp, some layers on gpu.

Might need to run Linux to get the system ram usage low enough