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@@ -13,6 +13,21 @@ This model is further pre-trained model based on [01-ai/Yi-6B](https://huggingfa
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  This is a preview version, for experimental use only, we will use it to fine-tune on downstream tasks and evaluate the performance.
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  ## Usage
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  ```python
 
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  This is a preview version, for experimental use only, we will use it to fine-tune on downstream tasks and evaluate the performance.
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+ ### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_hon9kon9ize__CantoneseLLM-6B-preview202402)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 56.93 |
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+ | ARC (25-shot) | 55.63 |
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+ | HellaSwag (10-shot) | 75.8 |
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+ | MMLU (5-shot) | 63.07 |
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+ | TruthfulQA (0-shot) | 42.26 |
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+ | Winogrande (5-shot) | 74.11 |
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+ | GSM8K (5-shot) | 30.71 |
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  ## Usage
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  ```python