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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
---
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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>
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# Simply make AI models cheaper, smaller, faster, and greener!
## Results
## Setup
You can run the smashed model by:
1. Installing and importing the `pruna-engine` (version 0.2.6) package. Use `pip install pruna --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com` for installation. See [Pypi](https://pypi.org/project/pruna-engine/) for detailed on the package.
2. Downloading the model files at `model_path`. This can be done using huggingface with this repository name or with manual downloading.
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). |