Model Overview

ChuGyouk/R17 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. It supports a substantial context length of 32768 tokens, making it suitable for processing longer inputs and generating coherent, extended responses.

Training Details

This model was developed using Supervised Fine-Tuning (SFT) with the TRL library. The training process leveraged specific framework versions:

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

Key Capabilities

• General Text Generation: Excels at generating human-like text based on given prompts.
• Long Context Understanding: Benefits from its 32768-token context window, allowing for more nuanced and contextually aware outputs.

Intended Use Cases

• Conversational AI: Can be used for chatbots and interactive dialogue systems.
• Content Creation: Suitable for generating various forms of written content, from creative stories to informative articles.
• Question Answering: Capable of providing detailed answers to complex questions by leveraging its extensive context understanding.