Text Generation
PEFT
Safetensors
English
adaptive_repetition_controller
repetition-suppression
decode-time-intervention
llama
lora
research
degeneration
cf-hot
Eval Results (legacy)
Instructions to use LoganResearch/Adaptive-Repetition-Controller-ARC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LoganResearch/Adaptive-Repetition-Controller-ARC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LoganResearch/Ubermenschetien-8B") model = PeftModel.from_pretrained(base_model, "LoganResearch/Adaptive-Repetition-Controller-ARC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb408994737e6126b8920245cf74b7637a76e2e27fce837748853effae314da6
- Size of remote file:
- 8.42 MB
- SHA256:
- 6ea75a1a8b408dadc229b464d0e1f131af33a3a974efa523ba9aad2780625fb3
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