Instructions to use AIGeeksGroup/4D-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AIGeeksGroup/4D-R1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 884 Bytes
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library_name: peft
tags:
- lora
- video-generation
- motion-control
---
# 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.
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