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How to audit a released SoT controller checkpoint with State of Thought

Confirm a released controller file is intact before you rely on it in a study.

  • Top pick
  • Research
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA researcher or reviewer who received a State of Thought checkpoint and needs to confirm it matches the release before citing or reusing it.

The problemA controller file copied from a shared drive or mirror may be altered or mislabeled, and the paper results depend on the exact frozen parameters.

The outcomeA verification result for the llama-3.1-8b controller, run on CPU in seconds without loading any backbone.

What you need first

  • Python with pip and git installed
  • A virtual environment for the install
  • Hugging Face access for backbone weights, with license acceptance and hf auth login for gated models
  • Enough disk space and GPU memory for the chosen backbone when running evaluation

Steps

  1. Run git clone https://github.com/GongZhiren/State-of-Thought.git
  2. Run cd State-of-Thought
  3. Run python -m venv .venv
  4. Run source .venv/bin/activate
  5. Run python -m pip install -e .
  6. Run sot checkpoint verify checkpoints/llama-3.1-8b/controller.pt

Prompt for your agent

Using the repo GongZhiren/State-of-Thought, create a virtual environment, install it with python -m pip install -e ., then run sot checkpoint verify on <checkpoint path>. Report whether verification passes and the SHA-256 identity printed, and verify the result against the checkpoint hashes described in REPRODUCIBILITY.md.

Caveat. The verify step checks the controller file only and does not run the Llama-3.1-8B backbone, so it does not confirm downstream accuracy.

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