Publish WORL model weights and model card

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

.gitattributes

@@ -33,3 +33,4 @@ 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

LICENSE.txt

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NOTICE.txt

@@ -0,0 +1,10 @@
+WORL-Helios
+
+This release republishes the model artifacts from qyoo/helios-worl
+at revision c17176f5677301f9e10abb8d0ff69733e60b5e6d, with updated documentation
+and release metadata. Weight and model configuration bytes are unchanged.
+
+Base model: https://huggingface.co/BestWishYsh/Helios-Distilled
+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 +1,117 @@
+---
+license: apache-2.0
+base_model: BestWishYsh/Helios-Distilled
+library_name: peft
+pipeline_tag: text-to-video
+inference: false
+tags:
+  - worl
+  - helios
+  - video-generation
+  - world-model
+  - reinforcement-learning
+  - lora
+  - safetensors
+---
+
+# WORL-Helios
+
+**WORL-Helios** is a reinforcement-learning-trained LoRA adapter for
+[Helios-Distilled](https://huggingface.co/BestWishYsh/Helios-Distilled).
+It adapts the video transformer for autoregressive video generation.
+
+<img src="assets/worl-framework.png" alt="WORL video reinforcement-learning framework" width="100%">
+
+Related releases: [WORL-NVRM](https://huggingface.co/Efficient-Large-Model/WORL-NVRM)
+and [WORL-Lingbot](https://huggingface.co/Efficient-Large-Model/WORL-Lingbot).
+
+## Model details
+
+| Field | Description |
+| --- | --- |
+| Base model | `BestWishYsh/Helios-Distilled` |
+| Transformer class | `HeliosTransformer3DModel` |
+| Released artifact | Current-policy PEFT LoRA adapter |
+| Adapter precision | FP32 |
+| LoRA rank / alpha | 128 / 128 |
+| Attention targets | `to_q`, `to_k`, `to_v`, `to_out.0` |
+| Coverage | 40 transformer blocks; 640 adapter tensors |
+| Adapter parameters | 419,430,400 |
+| Input / output | Text and video/history conditioning through the Helios runtime / generated video continuation |
+
+This repository contains an adapter, not a complete video-generation pipeline.
+The base transformer, text encoder, tokenizer, VAE, scheduler and compatible
+Helios runtime are required separately.
+
+## Training data and method
+
+The released adapter's export record specifies WORL training with VideoAlign
+VQ, MQ and TA rewards, interactive prompt mode and 16 FPS. This description
+follows the actual exported artifact. The exact prompt corpus and its size are
+not documented in that record, and no prompt dataset is bundled here.
+
+## Download and load
+
+```bash
+hf download Efficient-Large-Model/WORL-Helios --local-dir artifacts/WORL-Helios
+```
+
+With [Helios](https://github.com/PKU-YuanGroup/Helios) and a compatible PEFT
+environment installed, attach the adapter to the base transformer:
+
+```python
+import torch
+from peft import PeftModel
+from helios.modules.transformer_helios import HeliosTransformer3DModel
+
+base = HeliosTransformer3DModel.from_pretrained(
+    "BestWishYsh/Helios-Distilled",
+    subfolder="transformer",
+    torch_dtype=torch.bfloat16,
+    low_cpu_mem_usage=True,
+).eval()
+
+model = PeftModel.from_pretrained(
+    base,
+    "Efficient-Large-Model/WORL-Helios",
+    is_trainable=False,
+).eval()
+```
+
+This loads the transformer and adapter. Video generation additionally needs
+the remaining Helios pipeline components. The source configuration used
+`Wan-AI/Wan2.1-T2V-14B-Diffusers` for its VAE and records PEFT 0.18.1.
+The exact Helios base revision was not retained in the source export; pin a
+compatible base revision when reproducing an inference setup.
+
+## Files and provenance
+
+| Path | Contents |
+| --- | --- |
+| `adapter_model.safetensors` | FP32 policy adapter, approximately 1.68 GB |
+| `adapter_config.json` | PEFT configuration |
+| `RELEASE_MANIFEST.json` | Source revision and SHA-256 file inventory |
+| `LICENSE.txt`, `NOTICE.txt` | License and source attribution |
+
+Weights and adapter configuration are unchanged from
+[qyoo/helios-worl at c17176f56773](https://huggingface.co/qyoo/helios-worl/tree/c17176f5677301f9e10abb8d0ff69733e60b5e6d).
+Documentation and release metadata were updated for this repository. The
+original export record remains available at that source revision.
+
+File integrity is checked against the source snapshot. This publication does
+not establish a new generation benchmark or hardware compatibility matrix.
+
+## Intended use and limitations
+
+The adapter supports research on video generation and reinforcement learning
+of world models. Long generations can accumulate temporal artifacts, identity
+drift, geometric inconsistency and prompt mismatch. Generated video is
+synthetic and is not a validated physical simulation. Review generated outputs
+for the intended use and respect rights in input media.
+
+## License
+
+This release retains the source model card's
+[Apache License 2.0](LICENSE.txt). The separately obtained Helios base model
+and runtime components retain their upstream licenses and notices. See
+[NOTICE.txt](NOTICE.txt) for source attribution.

RELEASE_MANIFEST.json

@@ -0,0 +1,49 @@
+{
+  "schema": "worl.public-model-release.v1",
+  "repository_id": "Efficient-Large-Model/WORL-Helios",
+  "source_repository_id": "qyoo/helios-worl",
+  "source_revision": "c17176f5677301f9e10abb8d0ff69733e60b5e6d",
+  "weights_and_model_configurations_unchanged": true,
+  "documentation_updated": true,
+  "historical_receipts": "Available at the pinned source repository; not copied into this release.",
+  "digest_exclusions": [
+    "RELEASE_MANIFEST.json"
+  ],
+  "files": [
+    {
+      "path": ".gitattributes",
+      "size_bytes": 1581,
+      "sha256": "716ae1fa0c1d8e49bf58d6beac053a21010454e73c691ee39c75c1e283f3e0f1"
+    },
+    {
+      "path": "LICENSE.txt",
+      "size_bytes": 11357,
+      "sha256": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4"
+    },
+    {
+      "path": "NOTICE.txt",
+      "size_bytes": 485,
+      "sha256": "74b8948e547b96f556417924a262a39f157be8486b8f81ca4953f429c5cf2d41"
+    },
+    {
+      "path": "README.md",
+      "size_bytes": 4306,
+      "sha256": "5ef70bb97f67a27b91cd53f5b0578e0b261da7e447eeacfda299d2feae0438a8"
+    },
+    {
+      "path": "adapter_config.json",
+      "size_bytes": 1085,
+      "sha256": "d2d5a95aa83e84d1580f732fafaee17ebbe1286404a15cf7859c3bcec42e1257"
+    },
+    {
+      "path": "adapter_model.safetensors",
+      "size_bytes": 1677803192,
+      "sha256": "51028a3a9e8b3db60088fda7ad96ad143dae9756310fca19981f3dcbadc71957"
+    },
+    {
+      "path": "assets/worl-framework.png",
+      "size_bytes": 464758,
+      "sha256": "08f3e4338ff4e6487f258c977141eca780f85faaaac72f2a29257a5b6b343224"
+    }
+  ]
+}

adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "HeliosTransformer3DModel",
+    "parent_library": "helios.modules.transformer_helios"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "to_k",
+    "to_q",
+    "to_out.0",
+    "to_v"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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