Instructions to use Boffl/BullingerLM-llama3.1-8B-instruct-add with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Boffl/BullingerLM-llama3.1-8B-instruct-add with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Boffl/BullingerLM-llama3.1-8B-instruct-add") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88b0fd04f00b7fa618b0a5c36fad7d1a9face3d084175dbe14907db8b0bc475e
- Size of remote file:
- 5.37 kB
- SHA256:
- b5199bf9874bce657a2c467ec0152e13a32f61890ec2346c16f9b41f0d34ec00
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