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@@ -32,7 +32,7 @@ CogniLink leverages the advanced capabilities of [Unsloth](https://github.com/un
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  - Optimized for **low-latency deployment** on inference frameworks.
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  - Compatible with quantized environments, making it ideal for edge computing solutions.
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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  ## Applications
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  CogniLink can be deployed in:
@@ -45,4 +45,7 @@ CogniLink can be deployed in:
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  ### Community and Contribution
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  The CogniLink model was developed with a commitment to open-source collaboration. Contributions are welcomed on its official repository. For inquiries or support, visit [Unsloth GitHub](https://github.com/unslothai/unsloth).
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  **Empowering reasoning for a smarter future!**
 
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  - Optimized for **low-latency deployment** on inference frameworks.
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  - Compatible with quantized environments, making it ideal for edge computing solutions.
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  ## Applications
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  CogniLink can be deployed in:
 
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  ### Community and Contribution
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  The CogniLink model was developed with a commitment to open-source collaboration. Contributions are welcomed on its official repository. For inquiries or support, visit [Unsloth GitHub](https://github.com/unslothai/unsloth).
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+ ## special thanks to Modal.com for the Gpus used in training
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  **Empowering reasoning for a smarter future!**