Model Overview

ChuGyouk/F_R13_1 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/Qwen3-8B-Base architecture. This model leverages the TRL (Transformer Reinforcement Learning) framework for its training, specifically utilizing Supervised Fine-Tuning (SFT).

Key Capabilities

• General Text Generation: Designed for a broad range of text generation tasks.
• Base Model Enhancement: Builds upon the capabilities of the Qwen3-8B-Base model through targeted fine-tuning.
• Context Length: Supports a context window of 32,768 tokens, allowing for processing and generating longer sequences of text.

Training Details

The model's training procedure involved SFT, with progress monitored via Weights & Biases. The development environment included:

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

Good For

• Developers looking for a fine-tuned 8B parameter model for various text generation applications.
• Use cases requiring a substantial context window for processing longer prompts or documents.