LocalLLaMA

2265 readers

4 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

SkySyrup

pax

noneabove1182

Setup for TTRPG GM assistant? (self.localllama)

submitted 1 year ago by agamemnonymous to c/localllama

3 comments fedilink hide all child comments

Still pretty new to local LLMs, and there's been a lot of development since I dipped my toe in. Suffice to say I'm fairly swamped and looking for guidance to the right model for my use

I want to feed the model sourcebooks, so I can ask it game mechanic questions and it will respond with reasonable accuracy (including page references). I tried this with privateGPT a month or two back, and it kinda worked but it was slow and wonky. It seems like things are a bit cleaner now

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

[–] [email protected] 3 points 1 year ago (1 children)

A lot of the speed depends on hardware. Generally, in my experience so far the most accurate models are the largest you can run in 4 bit. I can barely run a Llama2 70B GGML in 4 bit with a 16 layers on a 3080Ti and everything else on 64GB of DDR5. A solid block of 200-300 words takes about 3 minutes to complete, but the quality of the results is well worth it. I also use a WizardLM 30B with 4 bit GGML. It takes around 2 minutes for an equivalent output. Anything in the 7-20B range is like asking the average teenager for technical help. It is possible to have a functional smalltalk conversation with one, but don't hand them your investment portfolio, ask them to toss a new clutch in the car, or secure a corporate server rack even if they claim expertise. Maybe with some embeddings and a bunch of tuning better results are possible. I have only tried 2 13B's a dozen 7B's half a dozen ~30B's and 2 70B's.

[–] agamemnonymous 1 points 1 year ago

I'm still on 3060Ti, but then speed isn't my biggest concern. I'm primarily focused on reasonably accurate "understanding" of the source material. I got pretty good results with GPT 4, but I feel like focusing my training data could help avoid irrelevant responses.