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--- |
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base_model: ethicalabs/xLSTM-7b-Instruct |
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library_name: peft |
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model_name: xlstm-7b-instruct-phase-2 |
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tags: |
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- lora |
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- sft |
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- transformers |
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- trl |
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licence: license |
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pipeline_tag: text-generation |
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datasets: |
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- teknium/OpenHermes-2.5 |
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- meta-math/MetaMathQA |
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- trl-lib/ultrafeedback-gpt-3.5-turbo-helpfulness |
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license: mit |
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language: |
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- en |
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--- |
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# Model Card for xlstm-7b-instruct-phase-2 |
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This model is a fine-tuned version of [ethicalabs/xLSTM-7b-Instruct](https://huggingface.co/ethicalabs/xLSTM-7b-Instruct) for task alignment. |
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It has been trained using [TRL](https://github.com/huggingface/trl) using SFT on assistant-only tokens. |
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The `k_proj` and `v_proj` matrices have been frozen to isolate and preserve the model's pre-trained knowledge base. |
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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. |
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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. |
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## Quick start |
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Work in Progress! |
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## Training procedure |
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[<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) |
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This model was trained with SFT. |
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### Framework versions |
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- PEFT 0.17.1 |
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- TRL: 0.24.0 |
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- Transformers: 4.57.1 |
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- Pytorch: 2.8.0+cu126 |
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- Datasets: 4.2.0 |
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- Tokenizers: 0.22.1 |
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## Citations |
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Cite TRL as: |
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```bibtex |
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@misc{vonwerra2022trl, |
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title = {{TRL: Transformer Reinforcement Learning}}, |
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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}, |
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year = 2020, |
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journal = {GitHub repository}, |
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publisher = {GitHub}, |
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howpublished = {\url{https://github.com/huggingface/trl}} |
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} |
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``` |
