schizotaku/modelNLP-qwen3-story
TEXT GENERATIONConcurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The schizotaku/modelNLP-qwen3-story is a Qwen3-based causal language model developed by schizotaku, fine-tuned from basemodel/Qwen3-4B-Instruct-2507. This model was specifically trained on writing prompts datasets to function as a Story Generator Chatbot. It leverages Unsloth for 2x faster training, making it optimized for creative text generation tasks.
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Overview
This model, developed by schizotaku, is a fine-tuned version of the Qwen3-4B-Instruct-2507 base model. It was specifically trained using writing prompts datasets to serve as a Story Generator Chatbot. The training process was significantly accelerated, achieving 2x faster speeds, by utilizing Unsloth.
Key Capabilities
- Story Generation: Optimized for creating narrative content based on writing prompts.
- Chatbot Integration: Designed for deployment within chatbot applications requiring creative text output.
- Efficient Training: Benefits from Unsloth's optimizations for faster fine-tuning.
Good For
- Developers building story-generating chatbots.
- Applications requiring creative writing assistance or narrative development.
- Projects focused on Natural Language Processing for text generation tasks, particularly within an academic context as it originated from a university project.