cs-552-2026-catma/safety_model
The cs-552-2026-catma/safety_model is a fine-tuned version of the Qwen/Qwen3-1.7B architecture, developed by cs-552-2026-catma. This model was trained using the TRL library with Supervised Fine-Tuning (SFT). Its primary purpose is to serve as a safety model, building upon the base capabilities of the Qwen3-1.7B model.
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Model Overview
The cs-552-2026-catma/safety_model is a specialized language model derived from the Qwen/Qwen3-1.7B architecture. It has undergone Supervised Fine-Tuning (SFT) using the TRL library, indicating a focus on refining its behavior for specific applications, likely related to safety or controlled generation.
Key Characteristics
- Base Model: Fine-tuned from Qwen/Qwen3-1.7B, a 1.7 billion parameter model.
- Training Method: Utilizes Supervised Fine-Tuning (SFT) for targeted behavior modification.
- Frameworks: Developed with TRL (version 1.3.0), Transformers (version 5.7.0), PyTorch (version 2.10.0+cu128), Datasets (version 4.8.5), and Tokenizers (version 0.22.2).
Potential Use Cases
This model is suitable for applications requiring a language model with enhanced safety characteristics or specific behavioral alignments, building on the general language understanding and generation capabilities of its Qwen3-1.7B base.