4D-R1

LoRA adapters for 4D-R1, a reinforcement post-training framework for motion control and efficient video generation built on VerseCrafter.

Directory	Paper model
4D-R1-GRPO	GRPO
4D-R1-NFT	NFT
4D-R1-GRPO-MP	GRPO (mixed-precision)
4D-R1-NFT-MP	NFT (mixed-precision)

Each directory contains adapter_model.safetensors and adapter_config.json. The adapters use LoRA rank 16 on the q, k, v, and o projections.

Inference requires the VerseCrafter base model, its companion components, and the compatible 4D-R1 inference implementation.

MP denotes mixed-precision training.

The corresponding paper rows are GRPO, NFT, GRPO (mixed-precision), and NFT (mixed-precision).

SHA256SUMS provides checksums for the adapter weights and configuration files.