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@@ -7,7 +7,7 @@ license: cc-by-sa-4.0
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  <!-- Provide a quick summary of what the model is/does. -->
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- **slim-summary-tool** is a 4_K_M quantized GGUF version of slim-summary, providing a small, fast inference implementation, optimized for multi-model concurrent deployment, to provide high-quality summarizations of complex business documents, on a small, specialized locally-deployable model.
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  The size of the self-contained GGUF model binary is 1.71 GB, which is small enough to run locally on a CPU with reasonable inference speed, and has been optimized to maximize high-quality with the ability to deploy on a local machine.
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  <!-- Provide a quick summary of what the model is/does. -->
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+ **slim-summary-tool** is a 4_K_M quantized GGUF version of slim-summary, providing a small, fast inference implementation, to provide high-quality summarizations of complex business documents, on a small, specialized locally-deployable model with summary output structured as a python list of key points.
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  The size of the self-contained GGUF model binary is 1.71 GB, which is small enough to run locally on a CPU with reasonable inference speed, and has been optimized to maximize high-quality with the ability to deploy on a local machine.
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