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Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.
Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.
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Notebook: 
Notebook: 
link
https://colab.research.google.com/drive/1nHNXUbgwRMyjFeBZbQvNLqaXGkqE4Wcs?usp=sharing
https://colab.research.google.com/drive/1nHNXUbgwRMyjFeBZbQvNLqaXGkqE4Wcs?usp=sharing
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Model: 
Model: 
resource
https://huggingface.co/hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF/tree/main
model
hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF
https://huggingface.co/hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF/tree/main
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Dataset: 
Dataset: 
resource
https://huggingface.co/datasets/argilla/FinePersonas-v0.1
dataset
argilla/FinePersonas-v0.1
https://huggingface.co/datasets/argilla/FinePersonas-v0.1
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Library: 
Library: 
link
https://github.com/argilla-io/distilabel
https://github.com/argilla-io/distilabel
Want to get familiar with llama 3.2 and an actual example of structured data generation? Try out the Google Colab I created.

Notebook: https://colab.research.google.com/drive/1nHNXUbgwRMyjFeBZbQvNLqaXGkqE4Wcs?usp=sharing
Model: https://huggingface.co/hugging-quants/Llama-3.2-3B-Instruct-Q8_0-GGUF/tree/main
Dataset: https://huggingface.co/datasets/argilla/FinePersonas-v0.1
Library: https://github.com/argilla-io/distilabel
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