Instructions to use ZurichNLP/mlit-llama-2-7b-mtml3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-llama-2-7b-mtml3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-llama-2-7b-mtml3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ZurichNLP/mlit-llama-2-7b-mtml3: direct link, hf CLI and curl.
- Browser
- Download file 640 MB
-
https://huggingface.co/ZurichNLP/mlit-llama-2-7b-mtml3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ZurichNLP/mlit-llama-2-7b-mtml3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ZurichNLP/mlit-llama-2-7b-mtml3/resolve/main/adapter_model.bin
640 MB
- Xet hash:
- 5e61b95623509439eb6dda9484dafc245f0aa70cf852c7cd42a47a40b90982af
- Size of remote file:
- 640 MB
- SHA256:
- abe7574965cc2e31541bf60342a7ebf0e3a2d72f97450f555af077e6d998b457
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