Overview

ChuGyouk/F_R14_T4 is an 8 billion parameter language model, fine-tuned from the ChuGyouk/F_R14 base model. It leverages the TRL (Transformer Reinforcement Learning) library for its training process, specifically employing Supervised Fine-Tuning (SFT). This model is designed to build upon the foundational capabilities of its predecessor, offering enhanced performance for various text generation tasks.

Key Capabilities

• General Text Generation: Capable of generating coherent and contextually relevant text based on given prompts.
• Fine-tuned Performance: Benefits from supervised fine-tuning to improve its response quality and adherence to instructions.
• Large Context Window: Supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Training Details

The model was trained using the TRL library (version 0.24.0) in conjunction with Transformers (5.2.0), Pytorch (2.10.0), Datasets (4.3.0), and Tokenizers (0.22.2). The training methodology involved SFT, indicating a focus on learning from labeled examples to refine its generative abilities. Further details on the training run can be visualized via Weights & Biases.