Instructions to use sanduntg/MistralLite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sanduntg/MistralLite with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "sanduntg/MistralLite") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce2cf126f0ef6446c5e069eb376a857acac2cab40025912e50b571b4b3cd6f24
- Size of remote file:
- 27.3 MB
- SHA256:
- 734f616bc98f665b192519c99b22e436a3a8848c9396861aabd8f105915dc141
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.