# JT-DA-Safe

JT-DA-Safe for Social Recognition Safety.

This repository provides the initial model artifacts for the JT-DA-Safe project. The project focuses on research, evaluation, supervised fine-tuning, and reinforcement learning for social recognition safety.

## Intended Use

- Social recognition safety research
- Safety-oriented model evaluation
- Supervised fine-tuning experiments
- Reinforcement learning experiments
- Internal research and development

## Repository Contents

The repository contains model weights, configuration files, tokenizer files, and generation settings required for model loading and inference.

## Limitations

Model outputs may contain inaccurate, biased, unsafe, or unexpected content. Results should be reviewed before being used in safety-sensitive or production scenarios.

## Notice

This repository is intended for research and evaluation purposes. Users are responsible for validating model behavior and complying with applicable laws, regulations, and platform requirements.