squeeze-ai-lab
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sq-vicuna-13b-w3-s45

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squeeze-ai-lab commited on Jul 2, 2023

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@@ -12,7 +12,7 @@ For more details please check out our [paper](https://arxiv.org/pdf/2306.07629.p
 3-bit quantized Vicuna-13B-v1.1 model using SqueezeLLM. More details can be found in the [paper](https://arxiv.org/pdf/2306.07629.pdf).
-* **Base Model:** [Vicuna-13B-v1.1](https://huggingface.co/lmsys/vicuna-7b-delta-v1.1) (by [LMSYS](https://lmsys.org/))
 * **Bitwidth:** 4-bit
 * **Sparsity Level:** 0.45%

 3-bit quantized Vicuna-13B-v1.1 model using SqueezeLLM. More details can be found in the [paper](https://arxiv.org/pdf/2306.07629.pdf).
+* **Base Model:** [Vicuna-13B-v1.1](https://huggingface.co/lmsys/vicuna-13b-delta-v1.1) (by [LMSYS](https://lmsys.org/))
 * **Bitwidth:** 4-bit
 * **Sparsity Level:** 0.45%