Instructions to use kubernetes-bad/Ligma-L2-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kubernetes-bad/Ligma-L2-13b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-13b-hf") model = PeftModel.from_pretrained(base_model, "kubernetes-bad/Ligma-L2-13b") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- en
license: other
library_name: peft
tags:
- llama2
- RLHF
- alignment
- ligma
datasets:
- Anthropic/hh-rlhf
task_categories:
- text-generation
base_model: NousResearch/Llama-2-13b-hf
Ligma
Ligma Is "Great" for Model Alignment
WARNING: This model is published for scientific purposes only. It may and most likely will produce toxic content.
Trained on the rejected column of Anthropic's hh-rlhf dataset.
Use at your own risk.
Example Outputs:
License: just comply with llama2 license and you should be ok.
