---
language: en
license: other
commercial: no
inference: false
---
# Seahorse-350m
## Model description
This is the first generation of a OPT based model, finetuned on the Orca dataset formatted to the Alpaca style.

## Training data
- psmathur/alpaca_orca


### How to use
You can use this model directly with a pipeline for text generation. This example generates a different sequence each time it's run:
```py
>>> from transformers import pipeline
>>> generator = pipeline('text-generation', model='TitleOS/Seahorse-350m')
>>> generator("Tell me about Alpacas.", do_sample=True, min_length=50)
```

## Limitations and biases
Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).

### License
OPT-350M is licensed under the OPT-175B license, Copyright (c) Meta Platforms, Inc. All Rights Reserved.

### BibTeX entry and citation info
```
@misc{zhang2022opt,
      title={OPT: Open Pre-trained Transformer Language Models}, 
      author={Susan Zhang and Stephen Roller and Naman Goyal and Mikel Artetxe and Moya Chen and Shuohui Chen and Christopher Dewan and Mona Diab and Xian Li and Xi Victoria Lin and Todor Mihaylov and Myle Ott and Sam Shleifer and Kurt Shuster and Daniel Simig and Punit Singh Koura and Anjali Sridhar and Tianlu Wang and Luke Zettlemoyer},
      year={2022},
      eprint={2205.01068},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```