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gongjy 2025-02-19 22:54:57 +08:00
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@ -1305,7 +1305,6 @@ scores:
| 7 | E | 22 | 23 | 15 | 14 | 74 | | 7 | E | 22 | 23 | 15 | 14 | 74 |
| 8 | G | 10 | 12 | 10 | 10 | 42 | | 8 | G | 10 | 12 | 10 | 10 | 42 |
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### 👉 Subjective Effect Summary ### 👉 Subjective Effect Summary
@ -1318,6 +1317,8 @@ My personal evaluation aligns with DeepSeek-R1's results，and：
* Repeating the timeless Scaling Law: The larger the parameters and the more training data, the stronger the model's * Repeating the timeless Scaling Law: The larger the parameters and the more training data, the stronger the model's
performance. performance.
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## Ⅲ Objective Benchmark ## Ⅲ Objective Benchmark
Now, onto the much-anticipated benchmark testing phase. We won’t bother comparing with models like Qwen or GLM-level Now, onto the much-anticipated benchmark testing phase. We won’t bother comparing with models like Qwen or GLM-level

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