WORL-Helios

WORL-Helios is a reinforcement-learning-trained LoRA adapter for Helios-Distilled. It adapts the video transformer for autoregressive video generation.

Related releases: WORL-NVRM and 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

hf download Efficient-Large-Model/WORL-Helios --local-dir artifacts/WORL-Helios

With Helios and a compatible PEFT environment installed, attach the adapter to the base transformer:

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. 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. The separately obtained Helios base model and runtime components retain their upstream licenses and notices. See NOTICE.txt for source attribution.