Model Overview

ChuGyouk/R18 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. This model has undergone supervised fine-tuning (SFT) using the TRL (Transformer Reinforcement Learning) library, indicating an optimization for instruction-following and generating coherent, contextually relevant text.

Key Capabilities

• Instruction Following: Optimized through SFT to better understand and respond to user prompts.
• Text Generation: Capable of generating diverse and relevant text based on given inputs.
• Base Model Enhancement: Builds upon the capabilities of the Qwen3-8B-Base model, enhancing its general utility.

Training Details

The model was trained using the SFT method, leveraging specific versions of popular machine learning frameworks:

• TRL: 0.24.0
• Transformers: 5.2.0
• PyTorch: 2.10.0
• Datasets: 4.3.0
• Tokenizers: 0.22.2

This fine-tuned model is suitable for developers looking for an 8B parameter model with improved conversational and generative abilities, particularly for applications requiring nuanced responses to instructions.