SmolLM2-135M-V2-QuadOrbit

Recommended Usage

For the easiest way to use this model with all required settings and its full functionality, use the TrajectoryLM application.

Screenshots

SmolLM2-135M V2 — QuadOrbit trigger

This research checkpoint keeps the SmolLM2 Transformer core frozen and trains a 424,641-parameter QuadOrbit/context branch. At inference, a user-selected trigger activates the branch and can alter a configurable number of following token distributions. Optional context conditions that private branch; it does not modify weights during prompting.

The validation number is the training loop's final ten-random-batch estimate on the local SmolTalk validation stream. It is not a standardized benchmark and is not directly comparable to another objective or tokenizer.

Use in the comparison UI

Use this checkpoint through the TrajectoryLM comparison application:

git clone https://github.com/Argo1-OOAS/TrajectoryLM.git
cd TrajectoryLM

Then run start_windows.ps1 on Windows or start_macos.command on macOS, as described in the TrajectoryLM README. The interface checks for the release, offers a download if it is absent, shows download progress, and exposes the trigger/context controls and token audit. The release uses repository-native PyTorch code rather than Transformers AutoModel; review the source before execution.

Paper and limitations

Open research_paper.pdf for the architecture and training report. This is an experimental branch, not a reliable assistant. It can repeat, hallucinate, ignore added context, or lose fluency at high guidance. Do not rely on it for medical, legal, financial, safety, or other high-impact decisions.

Citation

@misc{argo1ooas2026smollm2v2,
  title={Trigger-Scoped QuadOrbit Adaptation of SmolLM2-135M},
  author={Argo1-OOAS},
  year={2026},
  url={https://huggingface.co/Argo1-OOAS/SmolLM2-135M-V2-QuadOrbit}
}