Model Overview

ChuGyouk/F_R99_T2 is an 8 billion parameter language model, representing a supervised fine-tuned (SFT) version of the base model, ChuGyouk/F_R99. The fine-tuning process was conducted using the TRL library, a framework specifically designed for Transformer Reinforcement Learning.

Key Capabilities

• General Text Generation: Optimized for generating human-like text based on given prompts.
• Conversational AI: Suitable for engaging in open-ended dialogue, as demonstrated by the quick start example.
• Context Handling: Benefits from an 8192-token context length, allowing for more extensive input processing and coherent long-form generation.

Training Details

The model underwent a supervised fine-tuning (SFT) regimen. The training environment 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

Good For

• Developers seeking a fine-tuned 8B parameter model for text generation.
• Applications requiring conversational responses or creative writing prompts.
• Experimentation with SFT-trained models for various NLP tasks.