Instructions to use ZurichNLP/mlit-llama-2-70b-mtml6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-llama-2-70b-mtml6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-llama-2-70b-mtml6") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ZurichNLP/mlit-llama-2-70b-mtml6: direct link, hf CLI and curl.
- Browser
- Download file 3.31 GB
-
https://huggingface.co/ZurichNLP/mlit-llama-2-70b-mtml6/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ZurichNLP/mlit-llama-2-70b-mtml6/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ZurichNLP/mlit-llama-2-70b-mtml6/resolve/main/adapter_model.bin
3.31 GB
- Xet hash:
- 250bc308a37c3dbd56a201fc5da7809f0008221ba1ce24a09cd243c27e1f9bb8
- Size of remote file:
- 3.31 GB
- SHA256:
- dc8eae38bc046ebeecf136737d3e6774ddfaf8c3b6240aa7a538dc018cdf7ca6
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