Instructions to use slarkprime/Llama-2-7b-QLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use slarkprime/Llama-2-7b-QLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "slarkprime/Llama-2-7b-QLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39b5b2b44156cd486e4961af1c92c9acbd096f1afb2000e72fee3628e5c2de7b
- Size of remote file:
- 25.2 MB
- SHA256:
- f116059eff13b26945fd5cfbbe5d0c35c7715c199d730abdb73381b5024cad95
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