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open-sourced 600 Epoch ckpt of GMem

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  1. README.md +2 -1
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@@ -29,5 +29,6 @@ We offer the following pre-trained model and memory bank here:
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  | File | Backbone | Training Epoch | Dataset | Bank Size | Download |
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  |--------------------------------------------|----------------|----------------|---------------------------|-----------|----------|
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- |GMem_XL_160Epoch_in1k256_network.pt | FasterDiT-XL/1 | 160 | ImageNet $256\times 256$ | - | [Huggingface](https://huggingface.co/Tangentone/GMem/resolve/main/GMem_XL_160Epoch_in1k256_network.pt) |
 
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  |Memory_bank_in1k256.pth | - | - | ImageNet $256\times 256$ | 1.28M | [Huggingface](https://huggingface.co/Tangentone/GMem/resolve/main/Memory_bank_in1k256.pth) |
 
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  | File | Backbone | Training Epoch | Dataset | Bank Size | Download |
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  |--------------------------------------------|----------------|----------------|---------------------------|-----------|----------|
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+ |GMem_XL_160Epoch_in1k256_network.pt | FasterDiT-XL/1 | 160 | ImageNet $256\times 256$ | - | [Huggingface](https://huggingface.co/Tangentone/GMem/resolve/main/GMem_XL_160Epoch_in1k256_network.pt) |
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+ |GMem_XL_600Epoch_in1k256_network.pt | FasterDiT-XL/1 | 160 | ImageNet $256\times 256$ | - | [Huggingface](https://huggingface.co/Tangentone/GMem/resolve/main/GMem_XL_600Epoch_in1k256_network.pt) |
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  |Memory_bank_in1k256.pth | - | - | ImageNet $256\times 256$ | 1.28M | [Huggingface](https://huggingface.co/Tangentone/GMem/resolve/main/Memory_bank_in1k256.pth) |