yunjae-won/ubq30i_qwen4b_sft_yl
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 28, 2026Architecture:Transformer Cold
The yunjae-won/ubq30i_qwen4b_sft_yl is a 4 billion parameter instruction-tuned language model with a 32768 token context length. This model is based on the Qwen architecture and is designed for general language understanding and generation tasks. Its instruction-tuned nature makes it suitable for following diverse prompts and performing various NLP applications.
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Model Overview
The yunjae-won/ubq30i_qwen4b_sft_yl is an instruction-tuned language model built upon the Qwen architecture, featuring 4 billion parameters and a substantial context window of 32768 tokens. This model is designed to understand and generate human-like text based on given instructions.
Key Capabilities
- Instruction Following: Optimized to interpret and execute a wide range of natural language instructions.
- General Text Generation: Capable of producing coherent and contextually relevant text for various prompts.
- Large Context Window: The 32768 token context length allows for processing and generating longer sequences of text, maintaining context over extended conversations or documents.
Good For
- Conversational AI: Its instruction-following capabilities make it suitable for chatbots and interactive agents.
- Content Creation: Generating articles, summaries, or creative text based on specific guidelines.
- Research and Development: A solid base model for further fine-tuning on specialized datasets or tasks requiring robust language understanding.