Instructions to use MixAT-paper/Llama-3.1-8B-MixAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MixAT-paper/Llama-3.1-8B-MixAT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "MixAT-paper/Llama-3.1-8B-MixAT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1670feb1527f919f2163e807aa4b88d83db9944935a6ee0c952a76aa9b4757fc
- Size of remote file:
- 671 MB
- SHA256:
- 17071d547b097156d96fc19dfd4cfe3c1435d586cb9f64bc2b906864a42a62a9
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