Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem

pytorch.org

Finetune LLMs on your own consumer hardware using tools from PyTorch and Hugging Face ecosystem

pytorch.org

ylai to

Learn Machine Learning@sh.itjust.worksEnglish · 10 months ago

We demonstrate how to finetune a 7B parameter model on a typical consumer GPU (NVIDIA T4 16GB) with LoRA and tools from the PyTorch and Hugging Face ecosystem with complete reproducible Google Colab notebook.

You must log in or # to comment.

Chat

Learn Machine Learning@sh.itjust.works

learnmachinelearning@sh.itjust.works

Create a post

You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !learnmachinelearning@sh.itjust.works

Welcome! This is a place for people to learn more about machine learning techniques, discuss applications and ask questions.

Example questions:

“Should I use a deep neural network for my audio classification task?”
“I’m working with a small dataset, what can I do to make my model generalize well?”
“Is there a library available that implements function X in language Y?”
“I want to learn more about the math behind machine learning technique A, where should I start?”

Please do:

Be kind to new people
Post guides and tutorials that you find helpful
Link to open/free sources instead of paywalled when possible

Please don’t:

Post news articles / memes (there are other machine learning/AI communities for this)

Other communities in this area:

Similar subreddits: r/MLquestions, r/askmachinelearning, r/learnmachinelearning

Visibility: Public

This community can be federated to other instances and be posted/commented in by their users.

1 user / day
1 user / week
1 user / month
1 user / 6 months
16 local subscribers
485 subscribers
60 Posts
24 Comments
Modlog