Publish WORL model weights and model card

Preserve pinned source weights and configurations; update model documentation, attribution and integrity manifests.

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/worl-framework.png filter=lfs diff=lfs merge=lfs -text
+assets/worl-teaser.webp filter=lfs diff=lfs merge=lfs -text

LICENSE.txt

@@ -0,0 +1,201 @@
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NOTICE.txt

@@ -0,0 +1,10 @@
+WORL-Lingbot
+
+This release republishes the model artifacts from qyoo/lingbot-worl
+at revision d3e449c675f5a8bfb3afd29e30f1675e4445b9c3, with updated documentation
+and release metadata. Weight and model configuration bytes are unchanged.
+
+Base model: https://huggingface.co/robbyant/lingbot-world-fast
+The source model card declares Apache License 2.0. See LICENSE.txt.
+Upstream models and separately obtained runtime components retain their
+respective licenses and attribution notices.

README.md

@@ -0,0 +1,162 @@
+---
+license: apache-2.0
+base_model: robbyant/lingbot-world-fast
+library_name: peft
+pipeline_tag: image-to-video
+inference: false
+tags:
+  - worl
+  - lingbot
+  - world-model
+  - video-generation
+  - camera-control
+  - reinforcement-learning
+  - lora
+  - safetensors
+---
+
+# WORL-Lingbot
+
+**WORL-Lingbot** is a camera-conditioned video world-model policy trained with
+WORL on top of [LingBot-World-Fast](https://huggingface.co/robbyant/lingbot-world-fast).
+It generates video continuations conditioned on an initial image, text and
+camera trajectories.
+
+<img src="assets/worl-teaser.webp" alt="WORL long-horizon video generation examples" width="100%">
+
+Related releases: [WORL-NVRM](https://huggingface.co/Efficient-Large-Model/WORL-NVRM)
+and [WORL-Helios](https://huggingface.co/Efficient-Large-Model/WORL-Helios).
+
+## Model details
+
+| Field | Description |
+| --- | --- |
+| Base model | `robbyant/lingbot-world-fast` |
+| Base revision | `b7a1db2da9bd3ba675ee01c228f41db0309b981e` |
+| Base subfolder | `lingbot_world_fast` |
+| Architecture | Camera-conditioned `WanModelFast` transformer |
+| Release formats | BF16 PEFT LoRA adapter and merged BF16 transformer |
+| LoRA rank / alpha | 128 / 128 |
+| Merged parameter count | 18,544,332,864 |
+| Output geometry documented by the source release | 81 frames, 832 × 464 pixels, 16 FPS |
+
+The two formats represent the same released policy. The merged transformer
+has the adapter incorporated and does not need PEFT for inference. Both forms
+still require the compatible text encoder, tokenizer, VAE, scheduler and
+LingBot runtime, which are not included in this repository.
+
+## Inputs and outputs
+
+| Input | Format |
+| --- | --- |
+| First frame | RGB image |
+| Prompt | Text describing the scene and intended motion |
+| Camera trajectory | Per-frame camera-to-world matrices, `(F, 4, 4)` |
+| Camera intrinsics | Per-frame intrinsic matrices, `(F, 3, 3)` |
+
+The output is a camera-conditioned video continuation. The source evaluation
+profile uses an 80-frame stride between 81-frame clips, sharing one boundary
+frame between adjacent clips.
+
+## Training data and method
+
+WORL trains policies using autoregressive rollouts, reward evaluation,
+candidate selection and policy updates. The project's LingBot reference
+configuration combines HPSv3, NVRM and VGGT-Omega PI Camera rewards.
+
+The team supplied an [OpenScene/revisit training bundle](https://huggingface.co/datasets/qyoo/lingbot-top2400-training-data)
+containing 2,218 records with prompts, initial frames and camera-conditioning
+arrays. Initial scene imagery was generated using gpt-image. This describes
+the supplied project dataset and reference configuration; the exported model
+does not record an exact per-run dataset/configuration binding. The training
+dataset is distributed separately from these weights.
+
+## Download and load
+
+For the adapter only:
+
+```bash
+hf download Efficient-Large-Model/WORL-Lingbot \
+  --exclude 'merged/*' \
+  --local-dir artifacts/WORL-Lingbot
+```
+
+For the full repository, including the merged transformer:
+
+```bash
+hf download Efficient-Large-Model/WORL-Lingbot --local-dir artifacts/WORL-Lingbot
+```
+
+With a compatible LingBot runtime installed, load the merged transformer:
+
+```python
+import torch
+from wan.modules.model_fast import WanModelFast
+
+model = WanModelFast.from_pretrained(
+    "Efficient-Large-Model/WORL-Lingbot",
+    subfolder="merged",
+    torch_dtype=torch.bfloat16,
+    control_type="cam",
+).eval()
+```
+
+Alternatively, attach the adapter to the pinned base transformer:
+
+```python
+import torch
+from peft import PeftModel
+from wan.modules.model_fast import WanModelFast
+
+base = WanModelFast.from_pretrained(
+    "robbyant/lingbot-world-fast",
+    revision="b7a1db2da9bd3ba675ee01c228f41db0309b981e",
+    subfolder="lingbot_world_fast",
+    torch_dtype=torch.bfloat16,
+    control_type="cam",
+)
+model = PeftModel.from_pretrained(
+    base,
+    "Efficient-Large-Model/WORL-Lingbot",
+    is_trainable=False,
+).eval()
+```
+
+These examples load the transformer. Integrate it with the remaining compatible
+pipeline components for complete video generation.
+
+## Files and provenance
+
+| Path | Contents |
+| --- | --- |
+| `adapter_model.safetensors` | Approximately 1.23 GB BF16 adapter |
+| `adapter_config.json` | PEFT configuration |
+| `merged/` | Eight indexed BF16 transformer shards, approximately 37.09 GB, and config |
+| `merged/SHA256SUMS` | Checksums for the merged files |
+| `RELEASE_MANIFEST.json` | Source revision and SHA-256 inventory |
+
+Weights and model configurations are unchanged from
+[qyoo/lingbot-worl at d3e449c675f5](https://huggingface.co/qyoo/lingbot-worl/tree/d3e449c675f5a8bfb3afd29e30f1675e4445b9c3).
+Documentation and release manifests were updated for this repository. Original
+export, merge and load records remain available at that source revision.
+
+The source records report a safe PEFT merge, matching sampled merged weights,
+and an H100 reload with no remaining LoRA state keys. Those checks establish
+merge/load behavior, not a new training run or a general performance claim.
+No new GPU benchmark was performed for this publication.
+
+## Intended use and limitations
+
+This model supports research on camera-conditioned video generation and video
+world-model reinforcement learning. Long rollouts can drift in scene identity,
+geometry, camera motion and physical consistency. Synthetic outputs are not
+validated physical simulations or autonomous-control signals. Base-model and
+training-data biases can affect generations; review outputs for the intended
+application and respect rights in input media.
+
+## License
+
+This release retains the source model card's
+[Apache License 2.0](LICENSE.txt). The base model and separately obtained runtime
+components retain their upstream terms and notices. See [NOTICE.txt](NOTICE.txt)
+for source attribution.

RELEASE_MANIFEST.json

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+  "source_revision": "d3e449c675f5a8bfb3afd29e30f1675e4445b9c3",
+  "weights_and_model_configurations_unchanged": true,
+  "documentation_updated": true,
+  "historical_receipts": "Available at the pinned source repository; not copied into this release.",
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+  ],
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+}

adapter_config.json

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+    "parent_library": "wan.modules.model_fast"
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+  "bias": "none",
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+  "lora_bias": false,
+  "lora_dropout": 0.0,
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+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
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+  "use_rslora": false
+}

adapter_model.safetensors

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merged/README.md

@@ -0,0 +1,15 @@
+# WORL-Lingbot: merged transformer
+
+This directory contains the BF16 camera-conditioned `WanModelFast`
+transformer with the WORL adapter merged. It has 18,544,332,864
+parameters stored in eight indexed Safetensors shards.
+
+See the [main model card](../README.md) for loading examples, inputs,
+limitations and provenance. The text encoder, tokenizer, VAE, scheduler
+and compatible LingBot runtime are required separately.
+
+Weight files and configuration are unchanged from the source release.
+This documentation and `SHA256SUMS` were updated for WORL-Lingbot.
+Run `sha256sum -c SHA256SUMS` from this directory to check its files.
+
+License: [Apache 2.0](../LICENSE.txt). See [NOTICE.txt](../NOTICE.txt).

merged/SHA256SUMS

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