tokyo-electron-device-ai
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Update README.md
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README.md
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@@ -96,7 +96,7 @@ We conducted a comprehensive evaluation of Llama3-tedllm-8b-v0 and benchmarked i
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|Model| MMLU | BoolQ | Winogrande | Hellaswag | Average |
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| Llama-3-8B |
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| Llama3-tedllm-8b-v0 | 0.591 | 0.826 | 0.736 | 0.770 | 0.731 |
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| Llama-3-Swallow-8B-v0.1 | 0.591 | 0.824 | 0.726 | 0.772 | 0.728 |
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| Llama-3-ELYZA-JP-8B | 0.564 | 0.824 | 0.726 | 0.772 | 0.721 |
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|Model| MMLU | BoolQ | Winogrande | Hellaswag | Average |
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| Llama-3-8B | 0.622 | 0.812 | 0.728 | 0.792 | 0.738 |
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| Llama3-tedllm-8b-v0 | 0.591 | 0.826 | 0.736 | 0.770 | 0.731 |
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| Llama-3-Swallow-8B-v0.1 | 0.591 | 0.824 | 0.726 | 0.772 | 0.728 |
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| Llama-3-ELYZA-JP-8B | 0.564 | 0.824 | 0.726 | 0.772 | 0.721 |
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