Instructions to use amoldwalunj/adapter_model_mixtral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amoldwalunj/adapter_model_mixtral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "amoldwalunj/adapter_model_mixtral") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from amoldwalunj/adapter_model_mixtral: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/amoldwalunj/adapter_model_mixtral/resolve/main/optimizer.pt
- Command line
-
hf download hf://amoldwalunj/adapter_model_mixtral/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/amoldwalunj/adapter_model_mixtral/resolve/main/optimizer.pt
455 MB
- Xet hash:
- 28f7a77cb9ae7ddccf5134afc178b826706c0ab8bd94e55fdef4bdee54e630d8
- Size of remote file:
- 455 MB
- SHA256:
- 97e4379ad527346b08ba42132caba60161363800817204fb1677d4572592ee36
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