Create README.md

README.md

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+Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of `mistralai/Mixtral-8x7B-v0.1`.
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+For this quantization, we used 1 codebook of 16 bits.
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+Selected evaluation results for this and other models: 
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+| Model      | AQLM scheme | WikiText 2 PPL | Model size, Gb | Hub link                                                                 |
+|------------|-------------|----------------|----------------|--------------------------------------------------------------------------|
+| Llama-2-7b | 1x16        | 6.31           | 2.4            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-1x16-hf) |
+| Llama-2-7b | 2x8         | 7.98           | 2.2            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-2x8-hf)  |
+| Llama-2-7b | 8x8         | 7.83           | 2.2            | [Link](https://huggingface.co/BlackSamorez/Llama-2-7b-AQLM-2Bit-8x8-hf)  |
+| Llama-2-13b| 1x16        | 5.41           | 4.1            | [Link](https://huggingface.co/BlackSamorez/Llama-2-13b-AQLM-2Bit-1x16-hf)|
+| Llama-2-70b| 1x16        | 3.96           | 18.8           | [Link](https://huggingface.co/BlackSamorez/Llama-2-70b-AQLM-2Bit-1x16-hf)|
+| Mixtral-8x7b (THIS)| 1x16       | 4.37           | 12.6            | [Link](https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x16-hf)|
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+To learn more about the inference and how to quantize models yourself, please refer to the [official GitHub repo](https://github.com/Vahe1994/AQLM).