Hyeongwon/P2-split2_only_answer_Qwen3-4B-Base_0501-bs64-epoch6
Hyeongwon/P2-split2_only_answer_Qwen3-4B-Base_0501-bs64-epoch6 is a 4 billion parameter language model, fine-tuned by Hyeongwon from the Qwen3-4B-Base architecture. This model is specifically trained using Supervised Fine-Tuning (SFT) with TRL, focusing on generating direct answers. It is optimized for tasks requiring concise, answer-only responses, making it suitable for question-answering applications where brevity is key.
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Model Overview
This model, Hyeongwon/P2-split2_only_answer_Qwen3-4B-Base_0501-bs64-epoch6, is a 4 billion parameter language model derived from the Hyeongwon/Qwen3-4B-Base architecture. It has been fine-tuned using Supervised Fine-Tuning (SFT) with the TRL library, specifically to produce direct, answer-only responses.
Key Capabilities
- Answer-Only Generation: Specialized in providing concise answers to questions, avoiding conversational filler.
- SFT Training: Benefits from supervised fine-tuning for focused response generation.
- TRL Framework: Developed using the TRL (Transformer Reinforcement Learning) framework, indicating a structured approach to training.
Intended Use
This model is particularly well-suited for applications where the primary goal is to extract or generate a direct answer without additional conversational context. Examples include:
- Automated question-answering systems.
- Information retrieval tasks requiring succinct outputs.
- Integration into larger systems where only the answer component is needed.