Unsloth: How to Train LLM 5x Faster and with Less Memory Usage?

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🚀 Dive into the world of AI model fine-tuning with Unsloth! In this comprehensive tutorial, we explore how to fine-tune MRAL Jemma Llama models up to 5 times faster while using 70% less memory. Whether you're a beginner or an expert, this guide is your key to unlocking the full potential of various AI models without compromising on accuracy. 🌟

🔧 What You'll Learn:
Introduction to UnSloth and its advantages over other tools.
Step-by-step guide on setting up and fine-tuning your MRAL models.
Comparison of fine-tuning results before and after using the OI IG dataset.
How to upload your finely-tuned model to Hugging Face.

*If you like this video:*

👇 CHECK OUT THE CODE AND RESOURCES BELOW 👇

🔗 Resources:

👩‍💻 Setup Steps:
Creating a Python environment and installing necessary packages.
Activating UNSloth and setting up Hugging Face integration.
Loading data and models for fine-tuning.
Training and comparing model performance.
Uploading the fine-tuned model to Hugging Face.

💡 Key Takeaways:
Fine-tune AI models efficiently with minimal memory usage.
Achieve 0% loss in accuracy with Unsloth's advanced capabilities.
Support for various models and datasets, making it versatile for different AI projects.

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Timestamps:
0:00 Introduction to UnSloth and Fine-Tuning
0:41 Setting Up Unsloth for Fine-Tuning
1:07 Loading Data and Model Preparation
1:28 Fine-Tuning MRAL Model with OI IG Dataset
2:00 Comparing Before and After Fine-Tuning Results
2:35 Uploading Model to Hugging Face
3:00 Final Thoughts and Next Steps

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Комментарии

Thanks for sharing Unsloth and fabulous work on the video! Keep up the great work!

danielhanchen

And do you have a tutorial to build the training dataset easily ?

benda

did you use a gpu for training? or just cpu cores?

CheggAnonymous

how to train on unstructured data such as GitHub repo code or something like that ? what i mean is i don't have dataset in instruction and answer format but raw text. Do i need to have compulsorily have data in question answer format ?

HemangJoshi

It says its missing the Triton package but then nor pip or conda can find it. Any solution?

TruGame-sj

is it possible to use unsloth to finetune unixcoder? I am having trouble with the dependencies of packages :((

Hnni

I'm getting the error:
raise KeyError(f"Cache only has {len(self)} layers, attempted to access layer with index {layer_idx}")
KeyError: 'Cache only has 0 layers, attempted to access layer with index 0'

ReOp

what was the cost for this fine tuning? What can we expect for our use case?

prathameshchaudhari

Will it always give points now for an answer ? Line 1) 2) 3) etc? Or just for the business plan question and whatever you had in your fine tuning dataset?
Your reply is greatly appreciated 😊

Nurtech

I have obvious questions ... how long does it take ona windows with 3090 ... how long on m1? and what kind of results

solidkundi

how do I get conda up and running on wsl?

HuemanInstrumentality

ValueError: Pointer argument (at 2) cannot be accessed from Triton (cpu tensor?)

n.praveenraja

Maybe I do not get something but what is the sense to "train model" if u have sets question-answer?
You can just build trivial DB that will serve even better 😅

podunkman

How to install Python ? I need to do fine tune

richerite

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