Instructions to use ZurichNLP/mlit-llama-3-8b-ml1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-llama-3-8b-ml1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-llama-3-8b-ml1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f6b66815d5e89273e131ecb9cb1b9074db0daad795333ab2b9df8a0e88f826
- Size of remote file:
- 671 MB
- SHA256:
- cdc96902ffd7b50242c2545a55ce5123b64140eb79714d7c01c7a3c921b2464d
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