| base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit | |
| library_name: peft | |
| # Control Summaries LLaMA (LoRA adapter) | |
| This is a LoRA adapter for controllable summarization trained for the paper *Learning to Control Summaries with Score Ranking*. | |
| ## Model Details | |
| - **Model type:** LoRA adapter for a causal language model (summarization control) | |
| - **Language(s) (NLP):** English | |
| - **Finetuned from model:** `unsloth/meta-llama-3.1-8b-instruct-bnb-4bit` | |
| ### Model Sources | |
| - **Repository:** https://github.com/Hyfred/Control-Summaries-with-Ranking | |
| - **Paper:** Learning to Control Summaries with Score Ranking | |
| ## Uses | |
| ### Direct Use | |
| Use this adapter with the base model for controllable summarization (more complete / more concise / balanced prompts). | |
| ### How to Get Started | |
| Please refer to the code repository for usage and evaluation scripts: | |
| https://github.com/Hyfred/Control-Summaries-with-Ranking | |
| ## Bias, Risks, and Limitations | |
| The model inherits limitations and potential biases from the base model and training data. Summaries can be incomplete or contain errors. Review outputs before use in critical settings. | |
| - PEFT 0.14.0 |