---
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