Instructions to use benjamin5607/jekyll-hyde-jekyll-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benjamin5607/jekyll-hyde-jekyll-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "benjamin5607/jekyll-hyde-jekyll-lora") - Notebooks
- Google Colab
- Kaggle
Jekyll LoRA β guideline defense persona
Part of Jekyll & Hyde (v1.5).
| Base | google/gemma-2-2b-it |
| Pair adapter | hyde-lora |
| Demo Space | jekyll-hyde-demo |
Load
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b-it")
model = PeftModel.from_pretrained(base, "benjamin5607/jekyll-hyde-jekyll-lora")
Use with Hyde adapter for MoE blending β see project safety_eval/platform/local_model.py.
License
Gemma terms apply to the base model. Project code: MIT.
- Downloads last month
- 44
Inference Providers NEW
This model isn't deployed by any Inference Provider. π Ask for provider support