Instructions to use FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "FlexingD/yarn-mistral-7B-64k-instruct-alpaca-cleaned-origin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc529e01e798719ad30356c387b982db8d8073ba1b6c16493e5297c135e690c2
- Size of remote file:
- 171 MB
- SHA256:
- 32f724eb650747e6b08f59563506c283c8958ac232fcd070e31eae37593c0543
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