README.md

---
base_model: ethicalabs/xLSTM-7b-Instruct
library_name: peft
model_name: xlstm-7b-instruct-phase-2
tags:
- lora
- sft
- transformers
- trl
licence: license
pipeline_tag: text-generation
datasets:
- teknium/OpenHermes-2.5
- meta-math/MetaMathQA
- trl-lib/ultrafeedback-gpt-3.5-turbo-helpfulness
license: mit
language:
- en
---

# Model Card for xlstm-7b-instruct-phase-2

This model is a fine-tuned version of [ethicalabs/xLSTM-7b-Instruct](https://huggingface.co/ethicalabs/xLSTM-7b-Instruct) for task alignment.

It has been trained using [TRL](https://github.com/huggingface/trl) using SFT on assistant-only tokens.

The `k_proj` and `v_proj` matrices have been frozen to isolate and preserve the model's pre-trained knowledge base.

This fine-tuning focused only on the `q_proj` (query) and FFN matrices, adapting the model's reasoning and query-retrieval mechanisms without overwriting its core, frozen knowledge.

This experiment was designed to test the hypothesis that the model's reasoning capabilities (`q_proj`) could be specialized for math/code while its knowledge (`k_proj`, `v_proj`) remained intact.

## Quick start

Work in Progress!

## 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-ultrafeedback/runs/zxpd9xeh) 


This model was trained with SFT.

### Framework versions

- PEFT 0.17.1
- TRL: 0.24.0
- Transformers: 4.57.1
- Pytorch: 2.8.0+cu126
- 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}}
}
```