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---
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title: WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0
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emoji: π
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colorFrom: pink
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colorTo: gray
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sdk: streamlit
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sdk_version: 1.
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app_file: app.py
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pinned:
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---
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title: WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0
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emoji: π
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colorFrom: pink
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colorTo: gray
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sdk: streamlit
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sdk_version: 1.41.1
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app_file: app.py
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pinned: true
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/64fbe312dcc5ce730e763dc6/D09x1B8RZP_tfYqg_rmhN.jpeg
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---
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# WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0 π
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This Hugging Face Space showcases WhiteRabbitNeo Llama 3 WhiteRabbitNeo 8B V2.0, a [description of your project here].
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**Getting Started**
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To play around with this Space, simply click on the "Run" button at the top. This will launch an interactive session where you can interact with the model.
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**What it does**
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[Provide a concise explanation of what your project does and how users can interact with it on the Space.]
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**Model Details**
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* **Type:** [Specify the type of model (e.g., NLP, Computer Vision)]
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* **Framework:** [Name of the deep learning framework used (e.g., TensorFlow, PyTorch)]
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* **Size:** [Indicate the model size (e.g., parameters, FLOPs)]
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**Technical Stack**
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* **Frontend:** Streamlit ([link to Streamlit documentation](https://www.google.com/url?sa=E&source=gmail&q=https://docs.streamlit.io/))
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* **Backend:** [List any backend libraries or frameworks used]
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**Contributing**
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We welcome contributions to this Space\! If you have any improvements or suggestions, feel free to create a pull request on the underlying GitHub repository.
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**License**
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This Space is licensed under the [License Name] license. You can find the full license details in the `LICENSE` file.
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**Stay Connected**
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* [Link to your GitHub repository (optional)]
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* [Link to your website or blog (optional)]
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**Additional Notes**
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* [Include any other relevant information about your project or Space]
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**Remember to replace the bracketed placeholders with your specific details.**
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This README.md provides a comprehensive overview of your Hugging Face Space, including its purpose, functionality, technical details, and contribution guidelines. It also incorporates best practices for user engagement and clarity.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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