Model Overview

ChuGyouk/R13 is an 8 billion parameter language model developed by ChuGyouk, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. This model leverages a 32768 token context window, making it suitable for processing longer inputs and generating comprehensive responses. The fine-tuning process utilized Supervised Fine-Tuning (SFT) with the Hugging Face TRL (Transformer Reinforcement Learning) library, ensuring optimized performance for various text generation tasks.

Key Capabilities

• General Text Generation: Capable of generating human-like text based on given prompts.
• Instruction Following: Fine-tuned to respond to user instructions effectively, as demonstrated by the quick start example.
• Extended Context Handling: Benefits from a 32768 token context length, allowing for more detailed and context-aware interactions.

Training Details

The model was trained using the TRL framework (version 0.24.0) for SFT. The training environment included Transformers 5.2.0, Pytorch 2.10.0, Datasets 4.3.0, and Tokenizers 0.22.2. This setup indicates a robust and modern training pipeline for language models.

Good For

• Developers looking for a fine-tuned 8B parameter model for general text generation.
• Applications requiring a model with a substantial context window for detailed conversations or document processing.
• Experimentation with models trained using the TRL framework.