Overview

ChuGyouk/F_R9_T4 is a language model developed by ChuGyouk, derived from a fine-tuned version of the ChuGyouk/Llama-3.1-8B base model. The fine-tuning process utilized the TRL (Transformer Reinforcement Learning) library, specifically employing Supervised Fine-Tuning (SFT) techniques.

Key Characteristics

• Base Model: Built upon ChuGyouk/Llama-3.1-8B.
• Training Method: Fine-tuned using Supervised Fine-Tuning (SFT) with the TRL library.
• Framework Versions: Trained with TRL 0.24.0, Transformers 5.2.0, Pytorch 2.10.0, Datasets 4.3.0, and Tokenizers 0.22.2.

Intended Use

This model is suitable for various text generation tasks, particularly those requiring instruction following, given its SFT training. Developers can integrate it using the Hugging Face transformers library for applications like question answering or conversational AI.