Instructions to use ZurichNLP/mlit-llama-3-8b-ml2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-llama-3-8b-ml2 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-ml2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91deedb2fedcb05ef56a3a1f3ec02a26c3fcdddb977c9f1961b5cfd4c160624a
- Size of remote file:
- 671 MB
- SHA256:
- 32b6c1a6a6bd84e9a59186cbc99f516ffa3add492f4cdee5116250d58295bd6a
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