Instructions to use slarkprime/Llama-2-7b-chat-QLoRA-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use slarkprime/Llama-2-7b-chat-QLoRA-test 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-chat-QLoRA-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdf146d0c5b72a81f19b4b90ce1be26aa59c29dbc7655efaf8abc15105b5e811
- Size of remote file:
- 25.2 MB
- SHA256:
- ec55513ab8dfe067339ebbd2233d3edcfc921ff2c4a51027e6522468b3d4db4e
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