Update README.md

README.md

@@ -1,3 +1,59 @@
----
-license: mit
----
+---
+base_model:
+- ethicalabs/xLSTM-7b-Instruct-PEFT
+library_name: transformers
+model_name: xlstm-7b-chatml
+tags:
+- base_model:adapter:NX-AI/xLSTM-7b
+- lora
+- sft
+- transformers
+- trl
+licence: license
+pipeline_tag: text-generation
+license: mit
+---
+
+# Model Card for xLSTM-7b-Instruct
+
+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}}
+}
+```