Hyeongwon/P19-split3-prob-9x-bs256-lr1e5-zero3-ep3
Hyeongwon/P19-split3-prob-9x-bs256-lr1e5-zero3-ep3 is a 4 billion parameter language model, fine-tuned from Hyeongwon/Qwen3-4B-Base using the TRL library. This model, with a 32768 token context length, was trained with Supervised Fine-Tuning (SFT) to enhance its conversational capabilities. It is designed for general text generation tasks, particularly in response to user prompts.
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Model Overview
Hyeongwon/P19-split3-prob-9x-bs256-lr1e5-zero3-ep3 is a 4 billion parameter language model, fine-tuned from the base model Hyeongwon/Qwen3-4B-Base. This model leverages a 32768 token context length, making it suitable for processing longer inputs and generating comprehensive responses. The fine-tuning process utilized the TRL library and was conducted using Supervised Fine-Tuning (SFT) methods.
Key Capabilities
- Text Generation: Capable of generating coherent and contextually relevant text based on user prompts.
- Conversational AI: Designed to respond to questions and engage in text-based interactions.
- Foundation Model: Built upon the Qwen3-4B-Base architecture, providing a robust foundation for various NLP tasks.
Training Details
The model was trained with SFT, and its development process can be visualized via Weights & Biases. Key framework versions used include TRL 0.25.1, Transformers 4.57.3, Pytorch 2.9.1, Datasets 3.6.0, and Tokenizers 0.22.2.
Use Cases
This model is suitable for applications requiring general-purpose text generation, such as chatbots, content creation, and interactive question-answering systems.