Model Overview

ChuGyouk/F_R15_T4 is an 8 billion parameter language model, fine-tuned by ChuGyouk from its base F_R15 architecture. This iteration leverages Supervised Fine-Tuning (SFT) using the TRL (Transformer Reinforcement Learning) library, indicating an optimization for specific text generation capabilities.

Key Capabilities

• Text Generation: Optimized for generating coherent and contextually relevant text based on user prompts.
• Extended Context: Features a 32,768 token context window, allowing it to process and generate longer sequences of text while maintaining conversational memory.

Training Details

The model was trained using SFT, a common method for adapting pre-trained language models to specific tasks. The training process utilized several key frameworks:

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

This fine-tuned version is designed for developers looking for a capable 8B parameter model for various text generation applications.