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

Any way to decrease inference time during long chats?(+decrease repetition without breaking things) (alien.top)

submitted 11 months ago by The_One_Who_Slays@alien.top to c/localllama@poweruser.forum

5 comments fedilink hide all child comments

Using Oobabooga's Webui on cloud.

I haven't noticed that immediately, but apparently once I breach the context limit, or some short time after the fact, the inference time increases significantly. For example, in the beginning of the conversation a single message goes about 13-16 tps. After reaching the threshold, the speed starts decreasing until it becomes around 0.1 tps.

Not only that, but the text also starts repeating. For example, character's certain features or their actions start coming up in almost every sunsequent message with almost identical wording, like some sort of a broken record. It's not impossible to stir the plot forward, but it gets tiring, especially considering a huge delay on top of that.

Is there any solution or a workaround to these problems?

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

[–] the_quark@alien.top 1 points 11 months ago

While speed decreases with context length, I wonder if with a small context you’re fitting entirely in GPU, but as the context length increases, you exceed the available VRAM and it has to offload part of it to CPU?

To check if this is the issue, take a chat that’s performing poorly and load a smaller model on it.

If that is your issue, you can try to fine-tune your context length to fit inside your available VRAM, or use a smaller model if you need the longer context.