| | --- |
| | 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}} |
| | } |
| | ``` |
