LocalLLaMA

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

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

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I'm planning to fine-tune a mistral model with my own dataset. (full fine-tune, not LORAs)

The dataset is not that large, around 120 mb in jsonl format.

My questions are:

Will I be able to fine-tune the model with 4 cards of 40G A100?
If not, is using runpod the easiest approach?
I'm trying to instill knowledge in a certain language, for a field it does not have sufficient knowledge in said language. Is fine-tuning my only option? RAG is not viable in my case.

Thanks in advance!

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[–] DirectionOdd9824@alien.top 1 points 11 months ago

you get 14hrs of a100 80gb with 25 dollars.