this post was submitted on 18 Nov 2023
1 points (100.0% liked)

LocalLLaMA

11 readers
4 users here now

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

founded 2 years ago
MODERATORS
 

I have tried to set up 3 different versions of it, TheBloke GPTQ/AWQ versions and the original deepseek-coder-6.7b-instruct .

I have tried the 34B as well.

My specs are 64GB ram, 3090Ti , i7 12700k

In AWQ I get just bugged response (""""""""""""""") until max tokens,

GPTQ works much better, but all versions seem to add unnecessary * at the end of some lines.

and gives worse results than on the website (deepseek.com) Let's say il ask for a snake game in pygame, it usually gives an unusable version, and after 5-6 tries il get somewhat working version but still il need to ask for a lot of changes.

While on the official website il get the code working on first try, without any problems.

I am using the Alpaca template with adjustment to match the deepseek version (oogabooga webui)

What can cause it? Is the website version different from the huggingface model?

you are viewing a single comment's thread
view the rest of the comments
[–] Serious-Commercial10@alien.top 1 points 2 years ago

If you want to run it reliably, it's best to clone the PR in the link and compile it yourself. Quantizing gguf yourself is actually quite fast

https://github.com/ggerganov/llama.cpp/pull/4070

I've never successfully run the AutoAWQ model on a 3090, and I won't be trying it again!