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@@ -36,7 +36,7 @@ for data_idx, data_instance in enumerate(eval_dataset):
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  ## Benchmark Results of LLMs
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  Benchmark results of [Llama-2-7B-chat](https://huggingface.co/meta-llama/Llama-2-7b-chat), [Mistral-7B-instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), [Phi-3-7B-instruct](https://huggingface.co/microsoft/Phi-3-small-8k-instruct), [Gemmma-1.1-7B-it](https://huggingface.co/google/gemma-1.1-7b-it), and [Qwen-2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct).
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- More details refers to our benchmark repository [<img width="15" height="15" src="https://anonymous.4open.science/r/redis-bench-EBE2/figures/logo.png"> ReDis-QA-Bench](https://github.com/guanchuwang/redis-bench).
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  <img width="600" height="290" src="https://anonymous.4open.science/r/redis-bench-EBE2/figures/llm_results.png">
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  ## Benchmark Results of LLMs
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  Benchmark results of [Llama-2-7B-chat](https://huggingface.co/meta-llama/Llama-2-7b-chat), [Mistral-7B-instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), [Phi-3-7B-instruct](https://huggingface.co/microsoft/Phi-3-small-8k-instruct), [Gemmma-1.1-7B-it](https://huggingface.co/google/gemma-1.1-7b-it), and [Qwen-2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct).
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+ More details refers to our benchmark repository [**ReDis-QA-Bench**](https://github.com/guanchuwang/redis-bench).
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  <img width="600" height="290" src="https://anonymous.4open.science/r/redis-bench-EBE2/figures/llm_results.png">
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