| | --- |
| | base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
| | library_name: transformers |
| | model_name: msimpo-30each-v21 |
| | tags: |
| | - generated_from_trainer |
| | - trl |
| | - cpo |
| | licence: license |
| | --- |
| | |
| | # Model Card for msimpo-30each-v21 |
| |
|
| | This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct). |
| | It has been trained using [TRL](https://github.com/huggingface/trl). |
| |
|
| | ## Quick start |
| |
|
| | ```python |
| | from transformers import pipeline |
| | |
| | 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?" |
| | generator = pipeline("text-generation", model="nomadrp/msimpo-30each-v21", device="cuda") |
| | output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] |
| | print(output["generated_text"]) |
| | ``` |
| |
|
| | ## Training procedure |
| |
|
| | |
| |
|
| |
|
| | This model was trained with CPO, a method introduced in [Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation](https://huggingface.co/papers/2401.08417). |
| |
|
| | ### Framework versions |
| |
|
| | - TRL: 0.15.0.dev0 |
| | - Transformers: 4.48.2 |
| | - Pytorch: 2.2.0+cu118 |
| | - Datasets: 3.2.0 |
| | - Tokenizers: 0.21.0 |
| |
|
| | ## Citations |
| |
|
| | Cite CPO as: |
| |
|
| | ```bibtex |
| | @inproceedings{xu2024contrastive, |
| | title = {{Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation}}, |
| | author = {Haoran Xu and Amr Sharaf and Yunmo Chen and Weiting Tan and Lingfeng Shen and Benjamin Van Durme and Kenton Murray and Young Jin Kim}, |
| | year = 2024, |
| | booktitle = {Forty-first International Conference on Machine Learning, {ICML} 2024, Vienna, Austria, July 21-27, 2024}, |
| | publisher = {OpenReview.net}, |
| | url = {https://openreview.net/forum?id=51iwkioZpn} |
| | } |
| | ``` |
| |
|
| | 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 Gallouédec}, |
| | year = 2020, |
| | journal = {GitHub repository}, |
| | publisher = {GitHub}, |
| | howpublished = {\url{https://github.com/huggingface/trl}} |
| | } |
| | ``` |
