LocalLLaMA

2410 readers

44 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 2 years ago

MODERATORS

SkySyrup@sh.itjust.works

pax@sh.itjust.works

noneabove1182@sh.itjust.works

unsure on how to quantize model (feddit.it)

submitted 19 hours ago by brokenlcd@feddit.it to c/localllama@sh.itjust.works

4 comments fedilink hide all child comments

I was experimenting with oobabooga trying to run this model but due to it's size it wasn't going to fit in ram, so i tried to quantize it using llama.cpp, and that worked, but due to the gguf format it was only running on the cpu. searching for ways to quantize the model while keeping it in safetensors returned nothing; so is there any way to do that?

I'm sorry if this is a stupid question, i still know almost nothing of this field

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

[–] Mechanize@feddit.it 9 points 19 hours ago

I've never used oobabooga but if you use llama.cpp directly you can specify the number of layers that you want to run on the GPU with the -ngl flag, followed by the number.

So, as an example, a command (on linux) from the directory you have the binary, to run its server would look something like: ./llama-server -m "/path/to/model.gguf" -ngl 10

Another important flag that could interest you is -c for the context size.

This will put 10 layers of the model on the GPU, the rest will be on RAM for the CPU.

I would be surprised if you can't just connect to the llama.cpp server or just set text-generation-webui to do the same with some setting.

At worst you can consider using ollama, which is a llama.cpp wrapper.

But probably you would want to invest the time to understand how to use llama.cpp directly and put a UI in front of it, Sillytavern is a good one for many usecases, OpenWebUI can be another but - in my experience - it tends to have more half baked features and the development jumps around a lot.

As a more general answer, no, the safetensor format doesn't directly support quantization, as far as I know