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README.md
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<!-- header start -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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<img src="https://github.com/PrunaAI/pruna/raw/main/docs/assets/images/logo.png"
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alt="PrunaAI"
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style="width: 50%; min-width: 400px; display: block; margin: 0;">
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----
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# π Join the Pruna AI community!
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[](https://www.reddit.com/r/PrunaAI/)
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----
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# π
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[Pruna AI](https://www.pruna.ai/) makes AI models faster, cheaper, smaller, greener with the `pruna` package.
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- It supports **various models including CV, NLP, audio, graphs for predictive and generative AI**.
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- It supports **various hardware including GPU, CPU, Edge**.
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- It supports **various compression
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- You can
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- You can **evaluate reliable quality and efficiency metrics** of your base vs smashed/compressed models.
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----
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# β© How to get started?
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You can smash your own models by installing pruna with pip:
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pip install pruna
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```
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or directly [from source](https://github.com/PrunaAI/pruna).
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You can start with simple notebooks to experience efficiency gains with:
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| **Making your LLMs 4x smaller** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/llms.ipynb) |
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| **Smash your model with a CPU only** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/cv_cpu.ipynb) |
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| **Transcribe 2 hours of audio in less than 2 minutes with Whisper** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/asr_tutorial.ipynb) |
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| **100% faster Whisper Transcription** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/
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| **Run your Flux model without an A100** | β© [Smash for free](https://githubtocolab.com/PrunaAI/pruna/blob/1d68f74c132bd4045f2af55bb1e5c03bf2dde6a9/docs/tutorials/flux_small.ipynb) |
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| **x2 smaller Sana in action** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/sana_diffusers_int8.ipynb) |
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For more details
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----
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---
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<!-- header start -->
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<!-- 200823 -->
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<a href="https://www.pruna.ai/?utm_source=huggingface&utm_medium=org_card&utm_campaign=hf_traffic" target="_blank" rel="noopener noreferrer">
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<img src="https://github.com/PrunaAI/pruna/raw/main/docs/assets/images/logo.png"
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alt="PrunaAI"
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style="width: 50%; min-width: 400px; display: block; margin: 0;">
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----
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## π Join the Pruna AI community!
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[](https://github.com/PrunaAI/pruna)
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[](https://twitter.com/PrunaAI)
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[](https://www.linkedin.com/company/pruna-ai)
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[](https://discord.com/invite/JFQmtFKCjd)
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----
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## π Make AI models faster, cheaper, smaller, greener!
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[Pruna AI](https://www.pruna.ai/) makes AI models faster, cheaper, smaller, and greener with the `pruna` package.
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- It supports **various models, including CV, NLP, audio, and graphs for predictive and generative AI**.
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- It supports **various hardware, including GPU, CPU, Edge**.
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- It supports **various compression algorithms**, including quantization, pruning, distillation, caching, recovery, compilation, or factorization, among others.
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- You can **combine algorithms** to find the optimal configuration and smash/compress your model.
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- You can **evaluate reliable quality and efficiency metrics** of your base vs smashed/compressed models.
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**Set it up in minutes and compress your first models in a few lines of code!**
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----
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## β© How to get started?
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You can smash your own models by installing [pruna](https://github.com/PrunaAI/pruna) with pip:
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```py
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pip install pruna
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```
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You can start with simple notebooks to experience efficiency gains with:
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| **Making your LLMs 4x smaller** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/llms.ipynb) |
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| **Smash your model with a CPU only** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/cv_cpu.ipynb) |
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| **Transcribe 2 hours of audio in less than 2 minutes with Whisper** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/asr_tutorial.ipynb) |
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| **100% faster Whisper Transcription** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/asr_tutorial.ipynb) |
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| **Run your Flux model without an A100** | β© [Smash for free](https://githubtocolab.com/PrunaAI/pruna/blob/1d68f74c132bd4045f2af55bb1e5c03bf2dde6a9/docs/tutorials/flux_small.ipynb) |
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| **x2 smaller Sana in action** | β© [Smash for free](https://colab.research.google.com/github/PrunaAI/pruna/blob/main/docs/tutorials/sana_diffusers_int8.ipynb) |
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For more details on installation and free tutorials, check the [Pruna AI documentation](https://docs.pruna.ai/).
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----
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## β¨ Test our endpoints
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Want to use our optimized models right away? Try them [via our API](https://www.pruna.ai/all-models) for fast, easy access to Pruna-powered inference.
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<style>
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.model-button {
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display: inline-flex;
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flex-direction: row;
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justify-content: center;
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align-items: center;
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gap: 8px;
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padding: 8px 20px;
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border: none;
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border-radius: 8px;
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background: #9334e9;
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color: #ffffff;
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font-size: 14px;
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font-weight: 400;
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line-height: 1;
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text-decoration: none;
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white-space: nowrap;
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cursor: pointer;
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box-sizing: border-box;
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overflow: visible;
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opacity: 1;
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}
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</style>
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<a href="https://dashboard.pruna.ai/login?utm_source=huggingface&utm_medium=org_card&utm_campaign=hf_traffic" class="model-button">Try our models</a>
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