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:
- df6d55d1b375a845d9f0769e1ef70dd5e50fc5e722da6d63656d53289d42455e
- Size of remote file:
- 414 MB
- SHA256:
- bffe4ac2da48843d5ae13bbd8444410bddff1ee221ce167d2fd9d290401e14e6
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