Overview

misterJB/obiwan-field-963hz is an instruction-tuned language model, fine-tuned by misterJB. It is built upon the Qwen/Qwen2.5-3B-Instruct base model, a 3.09 billion parameter causal language model. The fine-tuning process utilized the TRL (Transformers Reinforcement Learning) library, indicating a focus on enhancing conversational and instruction-following abilities.

Key Characteristics

• Base Model: Qwen/Qwen2.5-3B-Instruct
• Fine-tuning Framework: TRL (Transformers Reinforcement Learning)
• Training Method: Supervised Fine-Tuning (SFT)
• Developer: misterJB

Usage

This model is suitable for various text generation tasks where instruction following is beneficial. A quick start example demonstrates its use with the transformers library for question answering or general conversational prompts.

Training Environment

The model was trained using specific versions of key frameworks:

• TRL: 0.29.1
• Transformers: 5.4.0
• Pytorch: 2.8.0
• Datasets: 4.8.4
• Tokenizers: 0.22.2