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---
license: apache-2.0
library_name: pruna-engine
thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
metrics:
- memory_disk
- memory_inference
- inference_latency
- inference_throughput
- inference_CO2_emissions
- inference_energy_consumption
---
<!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
<!-- header end -->
# Simply make AI models cheaper, smaller, faster, and greener!
## Results
![image info](./plots.png)
## Setup
You can run the smashed model by **(1)** installing and importing the `pruna-engine` (version 0.2.5) package with the [Pypi instructions](https://pypi.org/project/pruna-engine/),**(2)** downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading, and **(3)** loading the model, **(4)** running the model. You can achieve this by running the following code:
```python
from transformers.utils.hub import cached_file
from pruna_engine.PrunaModel import PrunaModel # Step (1): install and import `pruna-engine` package.
...
model_path = cached_file("PrunaAI/REPO", "model") # Step (2): download the model files at `model_path`.
smashed_model = PrunaModel.load_model(model_path) # Step (3): load the model.
y = smashed_model(x) # Step (4): run the model.
```
## Configurations
The configuration info are in `config.json`.
## License
We follow the same license as the original model. Please check the license of the original model before using this model.
## Want to compress other models?
- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai). |