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@@ -18,15 +18,12 @@ To run the benchmark locally on any open dataset that's formatted appropriately,
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  By default, it's assumed that a server compatible with the OpenAI API (such as one deployed with VLLM) is used. If you use a different setup, you need to add your own APIModelBase in src/evaluate/util.py.
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  Example commands for generating answers:
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- - for asynchronous generation:
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-
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  ```
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  export OPENAI_API_KEY=<your_token>
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  python3 -m src.evaluate.generate_answers --hostname https://api.openai.com/v1 --model-name gpt-3.5-turbo --model-openai gpt-4o --chunk-size 100
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  ```
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-
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- - for synchronous generation:
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-
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  ```
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  python3 -m src.evaluate.generate_answers --hostname https://api.openai.com/v1 --model-name gpt-3.5-turbo --model-openai gpt-4o --sync
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  ```
 
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  By default, it's assumed that a server compatible with the OpenAI API (such as one deployed with VLLM) is used. If you use a different setup, you need to add your own APIModelBase in src/evaluate/util.py.
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  Example commands for generating answers:
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+ for asynchronous generation:
 
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  ```
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  export OPENAI_API_KEY=<your_token>
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  python3 -m src.evaluate.generate_answers --hostname https://api.openai.com/v1 --model-name gpt-3.5-turbo --model-openai gpt-4o --chunk-size 100
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  ```
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+ for synchronous generation:
 
 
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  ```
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  python3 -m src.evaluate.generate_answers --hostname https://api.openai.com/v1 --model-name gpt-3.5-turbo --model-openai gpt-4o --sync
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  ```