Text Generation
PEFT
Safetensors
English
lora
control-theory
regularization
information-theory
llama
adapter
Instructions to use hunterbown/shannon-control-unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hunterbown/shannon-control-unit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "hunterbown/shannon-control-unit") - Notebooks
- Google Colab
- Kaggle
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| 3b-fixed/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| 3b-scu/tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
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| assets/figures/validation_3b_comparison.png filter=lfs diff=lfs merge=lfs -text | |
| assets/figures/s_curve_fixed.png filter=lfs diff=lfs merge=lfs -text | |
| SCU_Technical_Report_v1.pdf filter=lfs diff=lfs merge=lfs -text | |