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@@ -162,11 +162,13 @@ In order to make a continuous score that can be used for reranking query-context
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  We include scripts to do this in vLLM, LMDeploy, and OpenAI (hosted for free on Huggingface):
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- ### vLLM
 
 
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  Install [vLLM](https://github.com/vllm-project/vllm/) using `pip install vllm`.
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- <details>
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  <summary>Show vLLM code</summary>
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  ```python
@@ -211,12 +213,8 @@ print(expected_vals)
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  # [6.66570732 1.86686378 1.01102923]
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  ```
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- </details>
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- ### LMDeploy
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  Install [LMDeploy](https://github.com/InternLM/lmdeploy) using `pip install lmdeploy`.
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@@ -277,10 +275,8 @@ print(expected_vals)
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  # [6.66415229 1.84342025 1.01133205]
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  ```
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- </details>
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- ### OpenAI (Hosted on Huggingface)
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  Install [openai](https://github.com/openai/openai-python) using `pip install openai`.
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  # [6.64866580, 1.85144404, 1.010719508]
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  ```
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- </details>
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- <br/>
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  # Evaluation
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  We include scripts to do this in vLLM, LMDeploy, and OpenAI (hosted for free on Huggingface):
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+ <ul>
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+ <li><b>vLLM</b>
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  Install [vLLM](https://github.com/vllm-project/vllm/) using `pip install vllm`.
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+ <details open>
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  <summary>Show vLLM code</summary>
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  ```python
 
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  # [6.66570732 1.86686378 1.01102923]
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  ```
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+ </details></li>
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+ <li><b>LMDeploy</b>
 
 
 
 
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  Install [LMDeploy](https://github.com/InternLM/lmdeploy) using `pip install lmdeploy`.
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  # [6.66415229 1.84342025 1.01133205]
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  ```
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+ </details></li>
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+ <li><b>OpenAI (Hosted on Huggingface)</b>
 
 
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  Install [openai](https://github.com/openai/openai-python) using `pip install openai`.
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  # [6.64866580, 1.85144404, 1.010719508]
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  ```
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+ </details></li>
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+ </ul>
 
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  # Evaluation
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