Instructions to use Boffl/BullingerLM-llama3.1-70B-pretrain-EA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Boffl/BullingerLM-llama3.1-70B-pretrain-EA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-70B-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Boffl/BullingerLM-llama3.1-70B-pretrain-EA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0003bf61b65b708da1d86d4ce0cf63197a7b2a666c29e37eb8826219eac4b93c
- Size of remote file:
- 5.43 kB
- SHA256:
- 883750886e3a56aec38ccbad5a878cb712a844e8961732ae1af6c98ba86b8bdf
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