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Browse files- 6b2d562adc18074530b9e388fc2793070f16349d575391b740c4d24494656dc2 (53a8aac7aa5458ac79bbb16cfab624fa86445a6c)
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- README.md +4 -3
- model/optimized_model.pkl +2 -2
- plots.png +0 -0
README.md
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![image info](./plots.png)
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**Important remarks:**
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- The quality of the model output might slightly vary compared to the base model.
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- These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
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- You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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## Setup
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You can run the smashed model with these steps:
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0. Check
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1. Install the `pruna-engine` available [here](https://pypi.org/project/pruna-engine/) on Pypi. It might take 15 minutes to install.
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```bash
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pip install pruna-engine[gpu]==0.6.0 --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
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```
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![image info](./plots.png)
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**Important remarks:**
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- The quality of the model output might slightly vary compared to the base model.
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- These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
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- You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
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- Results mentioning "first" are obtained after the first run of the model. The first run might take more memory or be slower than the subsequent runs due cuda overheads.
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## Setup
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You can run the smashed model with these steps:
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0. Check that you have linux, python 3.10, and cuda 12.1.0 requirements installed. For cuda, check with `nvcc --version` and install with `conda install nvidia/label/cuda-12.1.0::cuda`.
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1. Install the `pruna-engine` available [here](https://pypi.org/project/pruna-engine/) on Pypi. It might take up to 15 minutes to install.
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```bash
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pip install pruna-engine[gpu]==0.6.0 --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
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```
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model/optimized_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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oid sha256:681de537fad5591743ff34037de6a335ccc7d43e4e2f433cbfbba05563c0558b
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size 6943176759
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plots.png
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