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@@ -16,8 +16,12 @@ Training checkpoints for [ForgeWM](https://github.com/asdfo123/ForgeWM).
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  | File | Stage | Description |
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  |------|-------|-------------|
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  | `stage0/model.pt` | Stage 0 | Bidirectional SFT (domain adaptation, 4000 steps) |
 
 
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  | `stage3/model.pt` | Stage 3 | DMD final model (4-step real-time inference) |
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  ## Usage
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  ```bash
@@ -29,5 +33,18 @@ python inference.py --checkpoint_path ckpts/stage3/model.pt --image_path demo_im
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  ```
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  ## 🚧 Coming Soon
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- - Stage 1 (Teacher-Forcing AR) checkpoint
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- - Stage 2 (Consistency Distillation) checkpoint
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | File | Stage | Description |
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  |------|-------|-------------|
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  | `stage0/model.pt` | Stage 0 | Bidirectional SFT (domain adaptation, 4000 steps) |
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+ | `stage1/model.pt` | Stage 1 | Teacher-Forcing Causal AR (10000 steps) |
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+ | `stage2/model.pt` | Stage 2 | Consistency Distillation (6000 steps) |
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  | `stage3/model.pt` | Stage 3 | DMD final model (4-step real-time inference) |
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+
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+
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  ## Usage
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  ```bash
 
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  ```
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  ## 🚧 Coming Soon
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+ - More intermediate checkpoints
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{forgewm2026,
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+ title={ForgeWM: A Reproducible Training Recipe for Action-Controllable World Models},
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+ author=ForgeWM Team,
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+ year={2026},
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+ url={https://github.com/asdfo123/ForgeWM}
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+ }
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+ ```
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+
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+ ## Contact
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+ [Xinye Li](https://asdfo123.github.io) leeasdfo123@gmail.com