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@@ -53,13 +53,10 @@ In each subplot:
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  4. **Position-specific variations**: In standard RoPE, frequency decreases with dimension index, but F0 adaptation modify this pattern.
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-
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- ----
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  ```python
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  freqs = (theta / 220.0) * 700 * (torch.pow(10, torch.linspace(0, 2595 * torch.log10(torch.tensor(1 + 8000/700)), dim // 2, device=device, dtype=dtype) / 2595) - 1) / 1000
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  ```
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- ----
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  The patterns below show how positions "see" each other in relation to theta and f0.
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  4. **Position-specific variations**: In standard RoPE, frequency decreases with dimension index, but F0 adaptation modify this pattern.
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  ```python
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  freqs = (theta / 220.0) * 700 * (torch.pow(10, torch.linspace(0, 2595 * torch.log10(torch.tensor(1 + 8000/700)), dim // 2, device=device, dtype=dtype) / 2595) - 1) / 1000
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  ```
 
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  The patterns below show how positions "see" each other in relation to theta and f0.
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