Model Overview

ChuGyouk/F_R16_1 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. This model was developed by ChuGyouk and trained using the TRL (Transformer Reinforcement Learning) framework, specifically employing a Supervised Fine-Tuning (SFT) approach.

Key Capabilities

• General Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
• Instruction Following: Designed to respond to user queries and instructions, as demonstrated by its quick start example.
• Extended Context Window: Benefits from a 32768 token context length, allowing for processing and generating longer inputs and outputs.

Training Details

The model's fine-tuning process utilized specific versions of key frameworks:

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

Usage

This model is suitable for various text-based applications where a robust 8B parameter model with a large context window is beneficial, such as conversational AI, content creation, and question-answering systems.