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@@ -42,11 +42,12 @@ The adapter was trained via SFT on random subsets of the following:
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  | Average | 53.56 | 47.08 | 51.11 |
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  ## Usage
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- First, install the latest version of <a href="https://github.com/mobiusml/hqq/">HQQ</a>:
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  ```
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- pip install git+https://github.com/mobiusml/hqq.git
 
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  ```
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- Then you can use the sample code below:
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  ``` Python
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  from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer
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  | Average | 53.56 | 47.08 | 51.11 |
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  ## Usage
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+ To run the model, install the HQQ library:
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  ```
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+ pip install hqq==0.1.8
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+ pip install transformers==4.46.0
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  ```
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+ and use it as follows:
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  ``` Python
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  from hqq.engine.hf import HQQModelForCausalLM, AutoTokenizer
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