Model Overview

ChuGyouk/F_R11_1_T1 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/F_R11_1 base model. The fine-tuning process utilized the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT) techniques.

Key Capabilities

• Text Generation: Excels at generating coherent and contextually relevant text based on user prompts.
• Conversational AI: Demonstrated ability to engage in question-answering and generate creative responses, as shown in the quick start example.
• Extended Context: Supports a context length of 32,768 tokens, allowing for processing longer inputs and maintaining conversational history over extended interactions.

Training Details

The model was trained using the TRL framework (version 0.24.0) with Transformers (5.2.0), PyTorch (2.10.0), Datasets (4.3.0), and Tokenizers (0.22.2). The training procedure involved Supervised Fine-Tuning (SFT).

Use Cases

This model is well-suited for applications requiring robust text generation, such as chatbots, content creation, and interactive storytelling, particularly where longer context understanding is beneficial.