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MamayLM-ORPO-align-lora8

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  1. .gitattributes +1 -0
  2. README.md +67 -0
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+ ---
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+ base_model: INSAIT-Institute/MamayLM-Gemma-2-9B-IT-v0.1
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+ library_name: transformers
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+ model_name: MamayLM-ORPO-align-lora8
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+ tags:
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+ - generated_from_trainer
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+ - trl
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+ - orpo
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+ licence: license
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+ ---
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+
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+ # Model Card for MamayLM-ORPO-align-lora8
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+
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+ This model is a fine-tuned version of [INSAIT-Institute/MamayLM-Gemma-2-9B-IT-v0.1](https://huggingface.co/INSAIT-Institute/MamayLM-Gemma-2-9B-IT-v0.1).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="OpenBabylon/MamayLM-ORPO-align-lora8", device="cuda")
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+ output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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+ print(output["generated_text"])
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+ ```
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+
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+ ## Training procedure
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+
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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/polyagent/MamayLM-ORPO/runs/5ru7q4ad)
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+
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+
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+ This model was trained with ORPO, a method introduced in [ORPO: Monolithic Preference Optimization without Reference Model](https://huggingface.co/papers/2403.07691).
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+
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+ ### Framework versions
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+
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+ - TRL: 0.17.0
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+ - Transformers: 4.51.3
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+ - Pytorch: 2.6.0
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+ - Datasets: 3.6.0
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+ - Tokenizers: 0.21.1
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+
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+ ## Citations
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+
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+ Cite ORPO as:
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+
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+ ```bibtex
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+ @article{hong2024orpo,
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+ title = {{ORPO: Monolithic Preference Optimization without Reference Model}},
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+ author = {Jiwoo Hong and Noah Lee and James Thorne},
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+ year = 2024,
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+ eprint = {arXiv:2403.07691}
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+ }
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+ ```
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+
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+ Cite TRL as:
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+
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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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+ ```
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