diff --git a/README.md b/README.md
index 4c497e2c..dd7da6c5 100644
--- a/README.md
+++ b/README.md
@@ -76,7 +76,7 @@ Designing computationally efficient network architectures persists as an ongoing
 | Swin-B | ImageNet-1K | 224x224 | 83.5 | 88M | 15.4G | 458 |496 | -- |
 | VMamba-S[`s2l15`] | ImageNet-1K | 224x224 | 83.6 | 50M | 8.7G | 877 | 314| [config](../classification/configs/vssm/vmambav2_small_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_small_0229.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_small_0229_ckpt_epoch_222.pth) |
 | VMamba-B[`s2l15`] | ImageNet-1K | 224x224 | 83.9 | 89M | 15.4G | 646 | 247 | [config](../classification/configs/vssm/vmambav2_base_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_base_0229.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_base_0229_ckpt_epoch_237.pth) |
-| VMamba-T[`s1l8`] | ImageNet-1K | 224x224 | 82.6 | 30M | 4.9G | 1686| 571| [config](../classification/configs/vssm/vmambav2v_tiny_224.yaml)/[log](#)/[ckpt](#) |
+| VMamba-T[`s1l8`] | ImageNet-1K | 224x224 | 82.6 | 30M | 4.9G | 1686| 571| [config](../classification/configs/vssm/vmambav2v_tiny_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_tiny_0230s.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_tiny_0230s_ckpt_epoch_264.pth) |
 
 
 * *Models in this subsection is trained from scratch with random or manual initialization. The hyper-parameters are inherited from Swin, except for `drop_path_rate` and `EMA`. All models are trained with EMA except for the `Vanilla-VMamba-T`.*
diff --git a/assets/performance.md b/assets/performance.md
index a9b31c04..4a07412a 100644
--- a/assets/performance.md
+++ b/assets/performance.md
@@ -12,9 +12,9 @@
 | VMamba-T[`s2l5`] | ImageNet-1K | 224x224 | 82.5 | 31M | 4.9G | 1340 | 464 | [config](../classification/configs/vssm/vmambav2_tiny_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_tiny_0230.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_tiny_0230_ckpt_epoch_262.pth) |
 | VMamba-S[`s2l15`] | ImageNet-1K | 224x224 | 83.6 | 50M | 8.7G | 877 | 314| [config](../classification/configs/vssm/vmambav2_small_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_small_0229.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_small_0229_ckpt_epoch_222.pth) |
 | VMamba-B[`s2l15`] | ImageNet-1K | 224x224 | 83.9 | 89M | 15.4G | 646 | 247 | [config](../classification/configs/vssm/vmambav2_base_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_base_0229.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm_base_0229_ckpt_epoch_237.pth) |
-| VMamba-T[`s1l8`] | ImageNet-1K | 224x224 | 82.6 | 30M | 4.9G | 1686| 571| [config](../classification/configs/vssm/vmambav2v_tiny_224.yaml)/[log](#)/[ckpt](#) |
-| VMamba-S[`s1l20`] | ImageNet-1K | 224x224 | 83.3 | 49M | 8.6G | 1106| 390 | [config](../classification/configs/vssm/vmambav2v_small_224.yaml)/[log](#)/[ckpt](#) |
-| VMamba-B[`s1l20`] | ImageNet-1K | 224x224 | 83.8 | 87M | 15.2G | 827 | 313| [config](../classification/configs/vssm/vmambav2v_base_224.yaml)/[log](#)/[ckpt](#) |
+| VMamba-T[`s1l8`] | ImageNet-1K | 224x224 | 82.6 | 30M | 4.9G | 1686| 571| [config](../classification/configs/vssm/vmambav2v_tiny_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_tiny_0230s.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_tiny_0230s_ckpt_epoch_264.pth) |
+| VMamba-S[`s1l20`] | ImageNet-1K | 224x224 | 83.3 | 49M | 8.6G | 1106| 390 | [config](../classification/configs/vssm/vmambav2v_small_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_small_0229s.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_small_0229s_ckpt_epoch_240.pth) |
+| VMamba-B[`s1l20`] | ImageNet-1K | 224x224 | 83.8 | 87M | 15.2G | 827 | 313| [config](../classification/configs/vssm/vmambav2v_base_224.yaml)/[log](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_base_0229s.txt)/[ckpt](https://github.com/MzeroMiko/VMamba/releases/download/%2320240316/vssm1_base_0229s_ckpt_epoch_225.pth) |
 
 * *Models in this subsection is trained from scratch with random or manual initialization. The hyper-parameters are inherited from Swin, except for `drop_path_rate` and `EMA`. All models are trained with EMA except for the `Vanilla-VMamba-T`.*
 * *`TP.(Throughput)` and `Train TP. (Train Throughput)` are assessed on an A100 GPU paired with an AMD EPYC 7542 CPU, with batch size 128. `Train TP.` is tested with mix-resolution, excluding the time consumption of optimizers.*