Instructions to use ZurichNLP/mlit-llama-3-8b-ml3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-llama-3-8b-ml3 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-ml3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ZurichNLP/mlit-llama-3-8b-ml3: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/ZurichNLP/mlit-llama-3-8b-ml3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ZurichNLP/mlit-llama-3-8b-ml3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ZurichNLP/mlit-llama-3-8b-ml3/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- aadd9245a634d93954b6e253d541407231e040e1f99157650ecac8c38c62bb99
- Size of remote file:
- 671 MB
- SHA256:
- c23f9068e0b0fb7b1382e67e66dce20b82753a06bec1da6f54ec7165a7af9811
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