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
|
Download README.md from AIGeeksGroup/4D-R1: direct link, hf CLI and curl.
- Browser
- Download file 884 Bytes
-
https://huggingface.co/AIGeeksGroup/4D-R1/resolve/main/README.md
- Command line
-
hf download hf://AIGeeksGroup/4D-R1/README.md
-
curl -L -o README.md https://huggingface.co/AIGeeksGroup/4D-R1/resolve/main/README.md
884 Bytes
metadata
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.