---
base_model: cjvt/GaMS3-12B-Instruct
library_name: peft
model_name: gams3-law-nli
tags:
- base_model:adapter:cjvt/GaMS3-12B-Instruct
- lora
- sft
- transformers
- trl
licence: license
pipeline_tag: text-generation
---

# Model Card for gams3-law-nli

This model is a fine-tuned version of [cjvt/GaMS3-12B-Instruct](https://huggingface.co/cjvt/GaMS3-12B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).

## Training procedure

This model was trained with SFT.

### Framework versions

- PEFT 0.18.1
- TRL: 0.27.1
- Transformers: 4.57.0.dev0
- Pytorch: 2.8.0+cu126
- Datasets: 4.1.1
- Tokenizers: 0.22.1

## Citations



Cite TRL as:
    
```bibtex
@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}
```