Instructions to use jmajkutewicz/Llama-3.1-Tulu-3-8B-DPO_PKU-SafeRLHF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jmajkutewicz/Llama-3.1-Tulu-3-8B-DPO_PKU-SafeRLHF with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/Llama-3.1-Tulu-3-8B-SFT") model = PeftModel.from_pretrained(base_model, "jmajkutewicz/Llama-3.1-Tulu-3-8B-DPO_PKU-SafeRLHF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d3b0cffc3e9eeb571d98921b54e9b1e4fc7d67adf38234eb2c466d9e376e189
- Size of remote file:
- 336 MB
- SHA256:
- de815a55feddc5a831214dcf596f6b9d243bc1a2f671c53c982a79e82fb6b6d9
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