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@@ -10,6 +10,8 @@ This is a version of the Mixtral-8x7B-Instruct-v0.1 model (https://huggingface.c
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  More specifically, the attention layers are quantized to 4-bit and the experts are quantized to 2-bit.
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  This model should perform a lot better compared to the all 2-bit model for a slight increase in model size (18.2GB vs. 18GB).
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  ### Basic Usage
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  To run the model, install the HQQ library from https://github.com/mobiusml/hqq and use it as follows:
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  ``` Python
 
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  More specifically, the attention layers are quantized to 4-bit and the experts are quantized to 2-bit.
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  This model should perform a lot better compared to the all 2-bit model for a slight increase in model size (18.2GB vs. 18GB).
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+ This idea was suggest by Artem Eliseev (@lavawolfiee) and Denis Mazur (@dvmazur) [in this Github discussion](https://github.com/mobiusml/hqq/issues/2).
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  ### Basic Usage
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  To run the model, install the HQQ library from https://github.com/mobiusml/hqq and use it as follows:
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  ``` Python