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.
| Property | Value |
|---|---|
| Unique parameters | 134,939,649 |
| Trained branch parameters | 424,641 |
| Layers / width | 30 / 576 |
| Context length | 8,192 |
| Vocabulary | 49,152 |
| Completed branch updates | 2,000 |
| Token presentations | 262,144,000 |
| Terminal sampled validation loss | 1.6958 (PPL 5.5) |
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}
}