Adding "longrope" for phi-3
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@ -110,7 +110,7 @@ class PositionRotaryEmbedding(nn.Module):
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beta_fast=32,
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beta_slow=1,
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)
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elif rope_scaling["type"] == "su":
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elif rope_scaling["type"] in ["su", "longrope"]:
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short_factor = torch.tensor(
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rope_scaling["short_factor"], dtype=torch.float32, device=device
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)
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