Model Overview

ChuGyouk/F_R15 is an 8 billion parameter language model developed by ChuGyouk, derived from the ChuGyouk/Qwen3-8B-Base architecture. This model has undergone Supervised Fine-Tuning (SFT) using the TRL framework, indicating an optimization for instruction-following and conversational capabilities.

Key Characteristics

• Base Model: Fine-tuned from ChuGyouk/Qwen3-8B-Base.
• Training Method: Utilizes Supervised Fine-Tuning (SFT) with the TRL library (version 0.24.0).
• Framework Versions: Built with Transformers 5.2.0, Pytorch 2.10.0, Datasets 4.3.0, and Tokenizers 0.22.2.

Intended Use Cases

This model is suitable for various text generation tasks where instruction adherence and coherent responses are important. Its fine-tuned nature suggests improved performance in:

• Answering questions based on provided prompts.
• Generating creative text or continuations.
• Engaging in basic conversational exchanges.