Upload LO-World checkpoints and SHA256 checksums

README.md

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+---
+language: en
+tags:
+- pytorch
+- autonomous-driving
+- occupancy-prediction
+- lidar
+---
+
+# LO-World
+
+Pretrained PyTorch checkpoints for UniAV-World, a BEV latent world model for joint future occupancy and LiDAR prediction.
+
+## Download
+
+```bash
+hf download JimmyLiaoo/LO-World --include "*.pth" --include SHA256SUMS --local-dir ckpts
+```
+
+## Checkpoints
+
+| File | Model |
+| --- | --- |
+| occ_lidar_vae.pth | Joint occupancy–LiDAR tokenizer |
+| bev_world_2f.pth | 2-frame World Model |
+| bev_world_6f.pth | 6-frame World Model |
+| bev_world_6f_layout.pth | 6-frame World Model with BEVLayout conditioning |
+| bev_world_6f_autoregressive.pth | Autoregressive World Model |
+| bev_world_12f_layout_autoregressive.pth | 12-frame autoregressive World Model with BEVLayout conditioning |
+| bev_world_6f_waymo.pth | Waymo World Model |
+
+Use the corresponding configuration from the UniAV-World code repository. World Model checkpoints include the tokenizer parameters. Training and evaluation require separately prepared dataset files and tokenizer latents.
+
+## Verify downloads
+
+```bash
+cd ckpts
+sha256sum -c SHA256SUMS
+```

SHA256SUMS

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+cbdc727e7b20d079b09159a7de0447bb2e67a6385649188c7e1a655f0ba4902f  bev_world_12f_layout_autoregressive.pth
+87a0fd437a8bd4c2153bd66a7434eaa382e90a3efdf53f3d33a5b0b02e10d723  bev_world_2f.pth
+b6a6fc3bd1a7dd18d9b5f0402315c9cc40706d959c8c1aed7cc52265e4733183  bev_world_6f.pth
+d38a6988f1da654ab7fb713e750aa8fe23fd4f208f15c18aca6a9812e161fbc9  bev_world_6f_autoregressive.pth
+75b912930a752c10c5329d76d84e1db01e7a86174fb5798c4c3dc2c94aa116d5  bev_world_6f_layout.pth
+0662648dec4a5b13c4b3ef9fb96309adaaf578d0c667b772791c6617cbce495e  bev_world_6f_waymo.pth
+0ef9756b6e1df8e5e357b53421fb8a4be6fa76f0590332152ba6d58e39d3a901  occ_lidar_vae.pth

bev_world_12f_layout_autoregressive.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cbdc727e7b20d079b09159a7de0447bb2e67a6385649188c7e1a655f0ba4902f
+size 260789904

bev_world_2f.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87a0fd437a8bd4c2153bd66a7434eaa382e90a3efdf53f3d33a5b0b02e10d723
+size 240360213

bev_world_6f.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6a6fc3bd1a7dd18d9b5f0402315c9cc40706d959c8c1aed7cc52265e4733183
+size 240368405

bev_world_6f_autoregressive.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d38a6988f1da654ab7fb713e750aa8fe23fd4f208f15c18aca6a9812e161fbc9
+size 240367756

bev_world_6f_layout.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:75b912930a752c10c5329d76d84e1db01e7a86174fb5798c4c3dc2c94aa116d5
+size 260789904

bev_world_6f_waymo.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0662648dec4a5b13c4b3ef9fb96309adaaf578d0c667b772791c6617cbce495e
+size 241154837

occ_lidar_vae.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0ef9756b6e1df8e5e357b53421fb8a4be6fa76f0590332152ba6d58e39d3a901
+size 213792333