LocalLLaMA

1 readers

1 users here now

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

founded 10 months ago

MODERATORS

submitted 10 months ago by bullerwins@alien.top to c/localllama@poweruser.forum

4 comments fedilink hide all child comments

Hi!

I’m quite new to LLMs and want to use it to make training workouts. My idea would be to feed it scientific studies and a bunch of example workouts.

Is this what “training a model” is for? Any resource where I can start to learn how to train one?

Can I use and already fine tuned model like Mistral, or do I need to train a base model like LLama2?

Can I train a quantized model or do I need to use a vanilla one? And quantize it after training?

I have 2x3090, 5950x and 64GB of Ram. If that matters. If I can load a model for inference can I train? Are the resources needed the same?

Thanks!

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

[–] MINIMAN10001@alien.top 1 points 10 months ago

Generally if what you want is to impart new knowledge what you want is a embedding.

Assuming it is a large amount of data you will want a vector db.

Using retrieval augmented generation, RAG.

This is better explained by this guy 16 days ago