\n
🌍 Join the Pruna AI community!
\n\n\n
💜 Simply make AI models faster, cheaper, smaller, greener!
\nPruna AI makes AI models faster, cheaper, smaller, greener with the pruna package.
- \n
- It supports various models including CV, NLP, audio, graphs for predictive and generative AI. \n
- It supports various hardware including GPU, CPU, Edge. \n
- It supports various compression algortihms including quantization, pruning, distillation, caching, recovery, compilation that can be combined together. \n
- You can either play on your own with smash/compression configurations or let the smashing/compressing agent find the optimal configuration [Pro]. \n
- You can evaluate reliable quality and efficiency metrics of your base vs smashed/compressed models.\nYou can set it up in minutes and compress your first models in few lines of code! \n
\n
⏩ How to get started?
\nYou can smash your own models by installing pruna with pip:
\npip install pruna\n\nor directly from source.
\nYou can start with simple notebooks to experience efficiency gains with:
\n| Use Case | \nFree Notebooks | \n
|---|---|
| 3x Faster Stable Diffusion Models | \n⏩ Smash for free | \n
| Making your LLMs 4x smaller | \n⏩ Smash for free | \n
| Smash your model with a CPU only | \n⏩ Smash for free | \n
| Transcribe 2 hours of audio in less than 2 minutes with Whisper | \n⏩ Smash for free | \n
| 100% faster Whisper Transcription | \n⏩ Smash for free | \n
| Run your Flux model without an A100 | \n⏩ Smash for free | \n
| x2 smaller Sana in action | \n⏩ Smash for free | \n
For more details about installation, free tutorials and Pruna Pro tutorials, you can check the Pruna AI documentation.
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AI & ML interests
Efficient machine learning for any model and hardware: pruning, quantization, compilation, and more.
Recent Activity
Articles
🌍 Join the Pruna AI community!
💜 Simply make AI models faster, cheaper, smaller, greener!
Pruna AI makes AI models faster, cheaper, smaller, greener with the pruna package.
- It supports various models including CV, NLP, audio, graphs for predictive and generative AI.
- It supports various hardware including GPU, CPU, Edge.
- It supports various compression algortihms including quantization, pruning, distillation, caching, recovery, compilation that can be combined together.
- You can either play on your own with smash/compression configurations or let the smashing/compressing agent find the optimal configuration [Pro].
- You can evaluate reliable quality and efficiency metrics of your base vs smashed/compressed models. You can set it up in minutes and compress your first models in few lines of code!
⏩ How to get started?
You can smash your own models by installing pruna with pip:
pip install pruna
or directly from source.
You can start with simple notebooks to experience efficiency gains with:
| Use Case | Free Notebooks |
|---|---|
| 3x Faster Stable Diffusion Models | ⏩ Smash for free |
| Making your LLMs 4x smaller | ⏩ Smash for free |
| Smash your model with a CPU only | ⏩ Smash for free |
| Transcribe 2 hours of audio in less than 2 minutes with Whisper | ⏩ Smash for free |
| 100% faster Whisper Transcription | ⏩ Smash for free |
| Run your Flux model without an A100 | ⏩ Smash for free |
| x2 smaller Sana in action | ⏩ Smash for free |
For more details about installation, free tutorials and Pruna Pro tutorials, you can check the Pruna AI documentation.
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