---
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}}
}
```