Instructions to use Boffl/BullingerLM-llama3.1-70B-pretrain-Z 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-Z 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-Z") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdbc9f911a2391329f7cc23138475f2984e3e9c7005ff119bcc9178680d4986
- Size of remote file:
- 414 MB
- SHA256:
- 602f90cb54f93fa1e941d4337b7ee3c09f3c544c10cff64091c9fb2df6227013
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