Instructions to use strumber/Llama2letsmod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use strumber/Llama2letsmod 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, "strumber/Llama2letsmod") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-300/optimizer.pt from strumber/Llama2letsmod: direct link, hf CLI and curl.
- Browser
- Download file 269 MB
-
https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-300/optimizer.pt
- Command line
-
hf download hf://strumber/Llama2letsmod/checkpoint-300/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/strumber/Llama2letsmod/resolve/main/checkpoint-300/optimizer.pt
269 MB
- Xet hash:
- de0e53694f8869415d97e8506a6c62228565771db2b574816bee8ef8392134ea
- Size of remote file:
- 269 MB
- SHA256:
- 0a6b9916f9d67af00d28f037d3faee40d76a452a312333e1eafd87d6e511188d
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