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@@ -63,6 +63,14 @@ print(outputs[0]["generated_text"][-1])
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  Note: You can also find detailed recipes on how to use the model locally, with `torch.compile()`, assisted generations, quantised and more at [`huggingface-llama-recipes`](https://github.com/huggingface/huggingface-llama-recipes)
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  # **Intended Use**
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  Bellatrix is designed for applications that require advanced reasoning and multilingual dialogue capabilities. It is particularly suitable for:
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  - **Agentic Retrieval**: Enabling intelligent retrieval of relevant information in a dialogue or query-response system.
 
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  Note: You can also find detailed recipes on how to use the model locally, with `torch.compile()`, assisted generations, quantised and more at [`huggingface-llama-recipes`](https://github.com/huggingface/huggingface-llama-recipes)
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+ # **Here is the ONNX model you can download to repo's:**
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+ | Model Name | ONNX File |
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+ |------------|-----------|
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+ | Optimum | [Download ONNX](https://huggingface.co/spaces/prithivMLmods/convert-to-onnx-dir) |
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  # **Intended Use**
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  Bellatrix is designed for applications that require advanced reasoning and multilingual dialogue capabilities. It is particularly suitable for:
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  - **Agentic Retrieval**: Enabling intelligent retrieval of relevant information in a dialogue or query-response system.