Instructions to use statking/MetaLlama8BInstructQLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use statking/MetaLlama8BInstructQLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "statking/MetaLlama8BInstructQLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2d91c09f66b13c42953f8b915b127b20d01367db18e54dc09606c36ef36f036
- Size of remote file:
- 6.33 kB
- SHA256:
- 6dc60893d5a04bb8c76dc05f08cc72e051fd2bd71687b46deb3b95067aaf82b1
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