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@@ -26,7 +26,7 @@ For test run results (and good indicator of target use cases), please see the fi
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  The inference accuracy tests were performed on this model (GGUF 4_K_M) not the original Pytorch, and it is possible that the original Pytorch may score higher, but we have chosen to use the quantized version as it is most representative of the likely use of the model for inference.
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- Please compare with [dragon-llama2](https://www.huggingface.co/llmware/dragon-llama-v0) or the most recent [dragon-mistral-0.3](https://www.huggingface.co/llmware/dragon-mistral-0.3-gguf).
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  ### Model Description
 
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  The inference accuracy tests were performed on this model (GGUF 4_K_M) not the original Pytorch, and it is possible that the original Pytorch may score higher, but we have chosen to use the quantized version as it is most representative of the likely use of the model for inference.
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+ Please compare with [dragon-llama2-7b](https://www.huggingface.co/llmware/dragon-llama-7b-v0) or the most recent [dragon-mistral-0.3](https://www.huggingface.co/llmware/dragon-mistral-0.3-gguf).
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  ### Model Description