Hyeongwon/P9-split5_only_answer_Qwen3-4B-Base_0402-01-5e-6
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 4, 2026Architecture:Transformer Cold
Hyeongwon/P9-split5_only_answer_Qwen3-4B-Base_0402-01-5e-6 is a 4 billion parameter language model developed by Hyeongwon, fine-tuned from the Qwen3-4B-Base architecture. This model is specifically trained using Supervised Fine-Tuning (SFT) with TRL, focusing on generating direct answers to questions. It is optimized for conversational AI and question-answering tasks, providing concise and relevant responses.
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Model Overview
Hyeongwon/P9-split5_only_answer_Qwen3-4B-Base_0402-01-5e-6 is a 4 billion parameter language model, fine-tuned from the base Hyeongwon/Qwen3-4B-Base model. This iteration has been specifically trained using Supervised Fine-Tuning (SFT) via the TRL library, focusing on generating direct and concise answers.
Key Capabilities
- Direct Question Answering: Optimized to provide focused answers to user queries, rather than engaging in broader conversational turns.
- Fine-tuned with TRL: Leverages the TRL framework for efficient and targeted fine-tuning, enhancing its ability to respond accurately.
- Qwen3-4B-Base Architecture: Built upon the robust Qwen3-4B-Base model, providing a strong foundation for language understanding and generation.
Good For
- Conversational AI: Ideal for chatbots or virtual assistants where the primary goal is to answer specific questions.
- Information Retrieval: Can be used in applications requiring quick and precise information extraction based on user prompts.
- Focused Response Generation: Suitable for scenarios where brevity and directness in answers are preferred over elaborate explanations.