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upload fastwam base checkpoints and LIBERO fine-tuned checkpoints
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FastWAM Base

This directory contains the complete FastWAM initialization used by the FluxVLA FastWAM LIBERO full-finetuning recipe.

Contents

  • fastwam_base_full.safetensors: bf16 FastWAM state dict initialized with seed 42. It contains the video DiT, VAE, text encoder, and ActionDiT parameters.
  • tokenizer/: UMT5 tokenizer files used for online text encoding.
  • manifest.json: package metadata and integrity information.

The package intentionally excludes task-specific text-embedding caches. Text prompts are encoded online by the model loaded from the complete checkpoint.

After downloading this directory to ./checkpoints/fastwam_base, configure FastWAM with:

pretrained_name_or_path = (
    './checkpoints/fastwam_base/fastwam_base_full.safetensors')
tokenizer_path = './checkpoints/fastwam_base/tokenizer'

The corresponding FluxVLA recipe is configs/fastwam/fastwam_libero_full_finetune.py.