Document verified download revision and matched robot checkpoint pairs

2ec6818 verified about 1 month ago

1.4 kB

license: mit
language:
  - en
tags:
  - recap
  - robotics
  - video-prediction
  - tokenizer
base_model:
  - thuml/rt1-compressive-tokenizer
  - thuml/rt1-world-model-multi-step-rlvr

rt1_tokenizer

Dataset-specific tokenizer for ReCAP visual open-loop experiments.

Training: Published upstream starting checkpoint; training steps not independently verified.
Initialization: thuml/rt1-compressive-tokenizer (codec) and thuml/rt1-world-model-multi-step-rlvr (world model).
Format: diffusers; full strict-load weights, no optimizer/RNG state in inference release.
Pair only with rt1_tokenizer, rt1_world, and rt1_action_ranges from the same manifest.
Download: matched model files.
License: MIT, retaining the starting model terms and attribution. This card does not grant rights over the training dataset. The Apache-2.0 code license is separate from checkpoint licensing.
Intended use: research video prediction with supplied actions. Not validated as a deployed robot controller.
Metrics: see artifacts/results; selected GIFs are not representative aggregate estimates.
Integrity: exact per-file SHA-256 and byte counts are in weights_manifest.json.

ReCAP is training-free context scheduling and has no additional model parameters.