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Update README.md

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@@ -17,6 +17,7 @@ For this quantization, we used 1 codebook of 16 bits for groups of 8 weights.
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  | Model | AQLM scheme | WikiText 2 PPL | Model size, Gb | Hub link |
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  |------------|-------------|----------------|----------------|--------------------------------------------------------------------------|
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  | meta-llama/Meta-Llama-3-8B | 1x16g8 | 6.99 | 4.1 | [Link](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-2Bit-1x16) |
 
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  | meta-llama/Meta-Llama-3-70B (this) | 1x16g8 | 4.57 | 21.9 | [Link](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-70B-AQLM-PV-2Bit-1x16)|
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  The 1x16g16 (1-bit) models are on the way, as soon as we update the inference lib with their respective kernels.
 
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  | Model | AQLM scheme | WikiText 2 PPL | Model size, Gb | Hub link |
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  |------------|-------------|----------------|----------------|--------------------------------------------------------------------------|
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  | meta-llama/Meta-Llama-3-8B | 1x16g8 | 6.99 | 4.1 | [Link](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-2Bit-1x16) |
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+ | meta-llama/Meta-Llama-3-8B | 1x16g16 | 9.43 | 3.9 | [Link](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-8B-AQLM-PV-1Bit-1x16) |
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  | meta-llama/Meta-Llama-3-70B (this) | 1x16g8 | 4.57 | 21.9 | [Link](https://huggingface.co/ISTA-DASLab/Meta-Llama-3-70B-AQLM-PV-2Bit-1x16)|
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  The 1x16g16 (1-bit) models are on the way, as soon as we update the inference lib with their respective kernels.