Overview

ChuGyouk/F_R6_1_T1 is an 8 billion parameter language model, representing a fine-tuned iteration of the ChuGyouk/F_R6_1 base model. This model leverages the TRL (Transformer Reinforcement Learning) framework for its training process, specifically employing Supervised Fine-Tuning (SFT). It is designed to handle a context length of up to 32768 tokens, allowing for processing and generating longer sequences of text.

Key Capabilities

• Instruction Following: The model is fine-tuned to understand and respond to user instructions effectively, making it suitable for interactive applications.
• Text Generation: Capable of generating coherent and contextually appropriate text based on given prompts.
• Extended Context: Supports a substantial context window of 32768 tokens, beneficial for tasks requiring extensive input or generating lengthy outputs.

Training Details

The model's training procedure involved Supervised Fine-Tuning (SFT) using the TRL library (version 0.24.0). The development environment included Transformers 5.2.0, Pytorch 2.10.0, Datasets 4.3.0, and Tokenizers 0.22.2. Further details on the training run can be visualized via Weights & Biases.