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  1. README.md +3 -3
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@@ -52,9 +52,9 @@ We evaluate the model's zero-shot performance on MMLU benchmark as a reflection
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  |Model|STEM|Social Sciences|Humanities|Others|Avg|
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  |:-:|:-:|:-:|:-:|:-:|:-:|
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- |[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|0.5387|0.7566|0.6944|0.6975|0.6591|
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- |[gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)|0.5210|0.7326|0.6715|0.6980|0.6434|
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- |[Llama-3-8B-Instruct-80K-QLoRA]()|0.5310|0.7324|0.6732|0.6879|0.6444|
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  # Environment
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  ```bash
 
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  |Model|STEM|Social Sciences|Humanities|Others|Avg|
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  |:-:|:-:|:-:|:-:|:-:|:-:|
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+ |[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|53.87|75.66|69.44|69.75|65.91|
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+ |[gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)|52.10|73.26|67.15|69.80|64.34|
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+ |[Llama-3-8B-Instruct-80K-QLoRA]()|53.10|73.24|67.32|68.79|64.44|
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  # Environment
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  ```bash