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---
base_model: NX-AI/xLSTM-7b
library_name: peft
model_name: xlstm-7b-chatml
tags:
- base_model:adapter:NX-AI/xLSTM-7b
- lora
- sft
- transformers
- trl
licence: license
pipeline_tag: text-generation
---
# Model Card for xlstm-7b-chatml
This model is a fine-tuned version of [NX-AI/xLSTM-7b](https://huggingface.co/NX-AI/xLSTM-7b).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
TODO
```
## Training procedure
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ethicalabs-ai/xlstm-finetuning/runs/pfmf34a3)
This model was trained with SFT.
### Framework versions
- PEFT 0.17.1
- TRL: 0.23.1
- Transformers: 4.57.0
- Pytorch: 2.8.0+cu128
- Datasets: 4.2.0
- 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}}
}
```