Model Overview

Hyeongwon/P2-split2_bs512_epoch5_5e-5_prob_Qwen3-4B-Base_0320-01 is a 4 billion parameter language model developed by Hyeongwon. It is a fine-tuned variant of the Hyeongwon/Qwen3-4B-Base model, specifically trained using the TRL (Transformer Reinforcement Learning) library.

Key Capabilities

• Text Generation: Excels at generating coherent and contextually relevant text based on user prompts.
• Conversational AI: Fine-tuned with Supervised Fine-Tuning (SFT) to improve its ability to handle conversational inputs and generate appropriate responses.
• Question Answering: Demonstrated capability in answering open-ended questions, as shown in the quick start example.

Training Details

The model underwent a Supervised Fine-Tuning (SFT) process. The training utilized specific framework versions:

• TRL: 0.25.1
• Transformers: 4.57.3
• Pytorch: 2.6.0
• Datasets: 3.6.0
• Tokenizers: 0.22.2

Use Cases

This model is suitable for applications requiring:

• Generating creative or informative text.
• Developing chatbots or conversational agents.
• Assisting with content creation by providing detailed responses to prompts.