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README.md
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@@ -35,7 +35,7 @@ Given two weight tensors from models with identical architecture (Text and Visio
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T^{\text{text}} \in \mathbb{R}^{d_1 \times \cdots \times d_n}, \quad T^{\text{vision}} \in \mathbb{R}^{d_1 \times \cdots \times d_n}
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$$
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*For each vision tensor key
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$$
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T^{\text{text}} \in \mathbb{R}^{d_1 \times \cdots \times d_n}, \quad T^{\text{vision}} \in \mathbb{R}^{d_1 \times \cdots \times d_n}
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$$
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*For each vision tensor key k_v, strip the `"language_model."` prefix to obtain the corresponding text model key for matching.*
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